Land resource investigation and classification method and system based on artificial intelligence, and storage medium

Abstract

The invention discloses a land resource investigation and classification method and system based on artificial intelligence and a storage medium, and relates to the technical field of electric digital data processing. The land resource investigation and classification method based on artificial intelligence comprises the following steps: evaluating spectral information interference; evaluating ground spectral signal interference; spectral information interference adjustment; developed city land resource collection and evaluation; and developed city land classification. Whether spectral information interference adjustment is carried out or not is judged through the obtained glass curtain wall spectral interference coefficient and the ground spectral interference coefficient, then developed city land resource collection evaluation is carried out to obtain the land resource collection quality evaluation value, and finally developed city land classification is carried out according to the land resource collection quality evaluation value. The method achieves the effect of improving the data acquisition accuracy when the developed city land resources are investigated and classified, and solves the problem of interference in data acquisition when the developed city land resources are investigated and classified in the prior art.

Description

Technical Field

[0001] The present invention relates to the technical field of electronic digital data processing, and in particular to a land resource survey and classification method, system and storage medium based on artificial intelligence. Background Art

[0002] In land resource surveys and classification, artificial intelligence (AI) technology can automatically analyze and detect remote sensing data, segmenting different land resource areas and improving classification accuracy and efficiency. The integrated application of AI technology is crucial in land resource surveys and classification. By combining remote sensing, image recognition, big data mining, and GIS (Geographic Information System) technologies, an efficient and intelligent land resource survey and classification system can be constructed. This system can automatically process and analyze large amounts of remote sensing image data, extract useful geographic information, and achieve high-precision land resource classification and assessment. Furthermore, the system can be customized and optimized based on actual needs to accommodate land resource surveys and classifications at different scales and with varying accuracy requirements. Developed cities have a large number of different types of land resources, such as buildings, roads, and green spaces. AI technology can automatically identify these different types of land resources and accurately classify them using high-resolution remote sensing imagery.

[0003] Existing methods mainly use remote sensing platforms such as satellites and drones to obtain surface information, process massive amounts of land resource data information through big data mining technology, find the complex connections within the data, and provide more data sources and data support for land resource surveys.

[0004] For example, the invention patent announcement with announcement number CN118094196B discloses a land use planning method and planning system based on data analysis, including: obtaining land resource field survey data; performing data preprocessing on the land resource field survey data to generate standard land resource field survey data; obtaining multi-source geographic information data; performing terrain data extraction on the multi-source geographic information data to generate a multi-source geographic terrain feature data set; performing elevation conversion on the multi-source geographic terrain feature data set to generate multi-source geographic elevation data; performing terrain feature analysis on the multi-source geographic elevation data to generate terrain feature analysis data; performing land cover classification on the standard land resource field survey data to generate land cover classification areas.

[0005] For example, the invention patent application with publication number CN118378170A discloses a classification method and system based on data analysis, including: performing spectral multi-segment resampling on the land analysis area and performing spectral band mixing effect analysis to obtain spectral band mixing effect data; performing band overlapping interference smoothing orthogonal polynomial fitting based on the spectral band mixing effect data to obtain band overlapping interference orthogonal fitting data; constructing a spectral-ground object mixing recognition model based on the band overlapping interference orthogonal fitting data to obtain a spectral-ground object mixing recognition model; performing land type recognition based on the spectral-ground object mixing recognition model to obtain land type recognition data; performing land use type classification processing based on the land type recognition data to obtain land use type classification data.

[0006] However, in the process of implementing the technical solutions of the invention in the embodiments of the present application, the present application found that the above technology has at least the following technical problems: In existing technologies, developed urban areas use a large amount of high-reflectivity materials (such as glass curtain walls). The reflected light from the glass curtain walls causes serious interference with the spectral information of the surrounding areas, resulting in a decline in the quality of the collected land resource data in developed cities, leading to interference in data acquisition when investigating and classifying land resources in developed cities. Summary of the Invention

[0007] The embodiments of the present application solve the problem of interference in data acquisition when surveying and classifying land resources in developed cities in the prior art by providing an artificial intelligence-based land resource survey and classification method, system and storage medium, and achieve improved accuracy in data acquisition when surveying and classifying land resources in developed cities.

[0008] An embodiment of the present application provides an artificial intelligence-based land resource survey and classification method, comprising the following steps: S1, performing a spectral information interference assessment based on the acquired glass curtain wall spectral reflection interference data to obtain a glass curtain wall spectral interference coefficient; S2, performing a ground spectral signal interference assessment based on the acquired ground spectral signal interference data to obtain a ground spectral interference coefficient; S3, judging whether to perform a spectral information interference adjustment based on the acquired glass curtain wall spectral interference coefficient and the ground spectral interference coefficient to obtain a qualified glass curtain wall spectral interference coefficient and a qualified ground spectral interference coefficient, wherein the spectral information interference adjustment includes a glass curtain wall interference adjustment and a ground interference adjustment; S4, performing a developed city land resource acquisition assessment based on the qualified glass curtain wall spectral interference coefficient, the qualified ground spectral interference coefficient and the acquired developed city land resource acquisition data to obtain a land resource acquisition quality assessment value, wherein the land resource acquisition quality assessment value is used to evaluate the acquisition quality of ground spectral information during the developed city land resource data acquisition process; S5, classifying developed city land according to the land resource acquisition quality assessment value.

[0009] Furthermore, the specific process of performing spectral information interference evaluation based on the obtained glass curtain wall spectral reflection interference data to obtain the glass curtain wall spectral interference coefficient is as follows: combining the regional light intensity impact value, the glass curtain wall reflectivity and the preset reflectivity maximum threshold obtained from the database to obtain the glass curtain wall reflectivity interference value; combining the regional light intensity impact value, the glass curtain wall reflected light intensity and the preset reflected light intensity maximum threshold obtained from the database to obtain the glass curtain wall reflected light intensity interference value; combining the regional light intensity impact value, the glass curtain wall reflection angle and the preset reflection angle maximum threshold obtained from the database to obtain the glass curtain wall reflection angle interference value; combining the glass curtain wall reflectivity interference value, the glass curtain wall reflected light intensity interference value and the glass curtain wall reflection angle interference value to obtain the glass curtain wall spectral interference coefficient.

[0010] Furthermore, the regional light intensity impact value is used to evaluate the degree of influence of light intensity on glass curtain walls in a preset land resource survey area; the glass curtain wall spectral reflection interference data includes regional light intensity, glass curtain wall reflectivity, glass curtain wall reflected light intensity and glass curtain wall reflection angle; the ground spectral interference coefficient is obtained through the ground reflectivity interference value and the ground radiation intensity interference value; the ground spectral interference coefficient is used to evaluate the degree of interference in ground spectral information collection during the land resource data collection process of developed cities.

[0011] Furthermore, the ground reflectivity interference value is obtained by processing the glass curtain wall reflection influence factor, the ground reflectivity and the preset ground reflectivity maximum threshold obtained from the database; the glass curtain wall reflection influence factor is obtained by processing the glass curtain wall reflectivity interference value and the glass curtain wall reflected light intensity interference value; the ground reflectivity interference value is used to evaluate the degree of interference of the ground reflectivity on the ground spectral information collection in the preset land resource survey area; the ground radiation intensity interference value is obtained by processing the glass curtain wall reflection influence factor, the ground radiation intensity and the preset ground radiation intensity maximum threshold obtained from the database.

[0012] Furthermore, the specific process of obtaining the qualified glass curtain wall spectral interference coefficient is as follows: judging whether the glass curtain wall spectral interference coefficient meets the glass curtain wall spectral interference qualified conditions; when the glass curtain wall spectral interference coefficient meets the glass curtain wall spectral interference qualified conditions, it indicates that the glass curtain wall spectral interference degree is qualified, and the corresponding glass curtain wall spectral interference coefficient is marked as a qualified glass curtain wall spectral interference coefficient; when the glass curtain wall spectral interference coefficient does not meet the glass curtain wall spectral interference qualified conditions, it indicates that the glass curtain wall spectral interference degree is unqualified, and glass curtain wall interference adjustment is performed; the glass curtain wall interference adjustment includes polarized light filtering and intelligent dimming; the glass curtain wall spectral interference qualified conditions indicate that the glass curtain wall spectral interference coefficient is not higher than the reference glass curtain wall spectral interference average threshold obtained from the database.

[0013] Furthermore, the specific acquisition process of the qualified ground spectrum interference coefficient is as follows: determine whether the ground spectrum interference coefficient meets the qualified ground spectrum interference conditions; when the ground spectrum interference coefficient meets the qualified ground spectrum interference conditions, it indicates that the ground spectrum interference level is qualified, and the corresponding ground spectrum interference coefficient is marked as a qualified ground spectrum interference coefficient; when the ground spectrum interference coefficient does not meet the qualified ground spectrum interference conditions, it indicates that the ground spectrum interference level is unqualified, and ground interference adjustment is performed; the ground interference adjustment includes observation angle adjustment and observation time adjustment; the qualified ground spectrum interference condition indicates that the ground spectrum interference coefficient is not higher than the reference ground spectrum signal interference average threshold obtained from the database.

[0014] Furthermore, the specific method for obtaining the land resource collection quality assessment value is as follows: the spectral resolution compliance value is obtained by processing the comprehensive interference influence factor, spectral resolution and the preset spectral resolution maximum threshold obtained from the database; the spectral signal-to-noise ratio compliance value is obtained by processing the comprehensive interference influence factor, spectral signal signal-to-noise ratio and the preset spectral signal signal-to-noise ratio maximum threshold obtained from the database; the spectral data volume compliance value is obtained by processing the comprehensive interference influence factor, spectral data volume and the preset spectral data volume maximum threshold obtained from the database; the spectral resolution compliance value, the spectral signal signal-to-noise ratio compliance value and the spectral data volume compliance value are combined to obtain the land resource collection quality assessment value; the comprehensive interference influence factor is obtained by processing the qualified glass curtain wall spectral interference coefficient and the qualified ground spectral interference coefficient.

[0015] Furthermore, the specific process of classifying developed city land based on the land resource acquisition quality assessment value is as follows: S51, judging whether the land resource acquisition quality assessment value meets the first ground resource condition. If so, the corresponding preset land resource survey area is classified as the first ground resource through data mining technology, otherwise S52 is executed; S52, judging whether the land resource acquisition quality assessment value meets the second ground resource condition. If so, the corresponding preset land resource survey area is classified as the second ground resource through data mining technology, otherwise S53 is executed; S53, judging whether the land resource acquisition quality assessment value meets the third ground resource condition. If so, the corresponding preset land resource survey area is classified as the third ground resource through data mining technology; the first ground resource condition indicates that the land resource acquisition quality assessment value is not lower than the preset ground resource acquisition quality maximum threshold obtained from the database; the second ground resource condition indicates that the land resource acquisition quality assessment value is lower than the preset ground resource acquisition quality maximum threshold obtained from the database, and at the same time, the land resource acquisition quality assessment value is higher than the preset ground resource acquisition quality minimum threshold obtained from the database; the third ground resource condition indicates that the land resource acquisition quality assessment value is not higher than the preset ground resource acquisition quality minimum threshold obtained from the database.

[0016] The embodiment of the present application provides an artificial intelligence-based land resource survey and classification system, including a spectral information interference assessment module, a ground spectral signal interference assessment module, a spectral information interference adjustment module, a developed city land resource collection and assessment module, and a developed city land classification module: wherein the spectral information interference assessment module is used to perform spectral information interference assessment based on the acquired glass curtain wall spectral reflection interference data to obtain a glass curtain wall spectral interference coefficient, and the glass curtain wall spectral interference coefficient is used to assess the degree of interference of the glass curtain wall on the ground spectral information during the acquisition of developed city land resource data; the ground spectral signal interference assessment module is used to perform ground spectral signal interference assessment based on the acquired ground spectral signal interference data to obtain a ground spectral interference coefficient; the spectral information interference adjustment module is used to Based on the acquired glass curtain wall spectral interference coefficient and ground spectral interference coefficient, it is determined whether to perform spectral information interference adjustment to obtain a qualified glass curtain wall spectral interference coefficient and a qualified ground spectral interference coefficient, wherein the spectral information interference adjustment includes glass curtain wall interference adjustment and ground interference adjustment; the developed city land resource acquisition and evaluation module is used to perform developed city land resource acquisition evaluation through the qualified glass curtain wall spectral interference coefficient, the qualified ground spectral interference coefficient and the acquired developed city land resource acquisition data to obtain a land resource acquisition quality evaluation value, and the land resource acquisition quality evaluation value is used to evaluate the acquisition quality of ground spectral information during the developed city land resource data acquisition process; the developed city land classification module is used to classify developed city land according to the land resource acquisition quality evaluation value.

[0017] An embodiment of the present application provides a computer-readable storage medium for storing a program, which, when executed by a processor, implements an artificial intelligence-based land resource survey and classification method.

[0018] One or more technical solutions provided in the embodiments of this application have at least the following technical effects or advantages: 1. By performing spectral information interference assessment, the spectral interference coefficient of the glass curtain wall is obtained. Then, the ground spectral signal interference assessment is performed to obtain the ground spectral interference coefficient. Then, based on the glass curtain wall spectral interference coefficient and the ground spectral interference coefficient, it is determined whether to perform spectral information interference adjustment. Finally, the land resource collection assessment of developed cities is performed to obtain the land resource collection quality assessment value and perform developed city land classification. This improves the timeliness of interference intervention when investigating and classifying land resources in developed cities, and further improves the accuracy of data acquisition when investigating and classifying land resources in developed cities, effectively solving the problem of interference in data acquisition when investigating and classifying land resources in developed cities in the existing technology.

[0019] 2. The spectral interference coefficient of the glass curtain wall is obtained through the interference value of the glass curtain wall reflectivity, the interference value of the glass curtain wall reflected light intensity, and the interference value of the glass curtain wall reflection angle. This achieves accurate quantification of the degree of interference of the glass curtain wall on the ground spectral information during the evaluation of land resource data collection in developed cities, thereby improving the reliability of the evaluation of land resource data collection in developed cities.

[0020] 3. By classifying the preset land resource survey areas that meet the first ground resource conditions as the first ground resource, then classifying the preset land resource survey areas that meet the second ground resource conditions as the second ground resource, and finally classifying the preset land resource survey areas that meet the third ground resource conditions as the third ground resource, the accuracy of land classification in developed cities is improved, thereby improving the reliability of land resource management in developed cities. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 A flow chart of the land resource survey and classification method based on artificial intelligence provided in an embodiment of the present application; Figure 2 A schematic diagram of the structure of the artificial intelligence-based land resource survey and classification system provided in an embodiment of the present application. DETAILED DESCRIPTION

[0022] The embodiments of the present application solve the problem of interference in data acquisition when investigating and classifying land resources in developed cities in the prior art by providing an artificial intelligence-based land resource survey and classification method, system and storage medium. The method obtains the glass curtain wall spectral interference coefficient by performing a spectral information interference assessment, and then obtains the ground spectral interference coefficient by performing a ground spectral signal interference assessment. Subsequently, it is determined whether to perform spectral information interference adjustment based on the obtained glass curtain wall spectral interference coefficient and the ground spectral interference coefficient. Then, a developed city land resource collection assessment is performed using the qualified glass curtain wall spectral interference coefficient, the qualified ground spectral interference coefficient and the obtained developed city land resource collection data to obtain a land resource collection quality assessment value. Finally, developed city land is classified based on the land resource collection quality assessment value, thereby improving the accuracy of data acquisition when investigating and classifying land resources in developed cities.

[0023] The technical solution in the embodiment of the present application is to solve the problem of interference in data acquisition when investigating and classifying land resources in developed cities. The overall idea is as follows: By conducting a spectral information interference assessment, the glass curtain wall spectral interference coefficient is obtained, and then the ground spectral signal interference assessment is conducted to obtain the ground spectral interference coefficient. Then, based on the glass curtain wall spectral interference coefficient and the ground spectral interference coefficient, it is determined whether to perform spectral information interference adjustment. Finally, a developed city land resource collection assessment is conducted to obtain the land resource collection quality assessment value and perform developed city land classification, thereby achieving the effect of improving the accuracy of data acquisition during the survey and classification of developed city land resources.

[0024] In order to better understand the above technical solution, the above technical solution will be described in detail below with reference to the accompanying drawings and specific implementation methods.

[0025] like Figure 1As shown, it is a flow chart of the land resource survey and classification method based on artificial intelligence provided by an embodiment of the present application, and the method includes the following steps: S1, spectral information interference assessment: performing spectral information interference assessment based on the acquired glass curtain wall spectral reflection interference data to obtain the glass curtain wall spectral interference coefficient, and the glass curtain wall spectral interference coefficient is used to assess the degree of interference of the glass curtain wall on the ground spectral information during the acquisition of developed city land resource data; S2, ground spectral signal interference assessment: performing ground spectral signal interference assessment based on the acquired ground spectral signal interference data to obtain the ground spectral interference coefficient, and the ground spectral interference coefficient is used to assess the degree of interference of the ground spectral information collection during the acquisition of developed city land resource data; S3, spectral information interference adjustment: judging whether to perform spectral information interference based on the acquired glass curtain wall spectral interference coefficient and the ground spectral interference coefficient. Information interference adjustment is performed to obtain qualified glass curtain wall spectral interference coefficients and qualified ground spectral interference coefficients. Spectral information interference adjustment includes glass curtain wall interference adjustment and ground interference adjustment. S4, developed city land resource acquisition assessment: developed city land resource acquisition assessment is performed through qualified glass curtain wall spectral interference coefficients, qualified ground spectral interference coefficients and acquired developed city land resource acquisition data to obtain a land resource acquisition quality assessment value. The land resource acquisition quality assessment value is used to evaluate the acquisition quality of ground spectral information during the developed city land resource data acquisition process. S5, developed city land classification: developed city land classification is performed according to the land resource acquisition quality assessment value. Developed city land classification means sending prompts to preset personnel to classify the preset land resource survey areas corresponding to the developed city land resource acquisition accurate assessment values ​​based on artificial intelligence.

[0026] Among them, the specific process of classifying developed city land according to the land resource collection quality assessment value is as follows: S51, judging whether the land resource collection quality assessment value meets the first ground resource condition. If so, the corresponding preset land resource survey area is classified as the first ground resource through data mining technology, otherwise S52 is executed; S52, judging whether the land resource collection quality assessment value meets the second ground resource condition. If so, the corresponding preset land resource survey area is classified as the second ground resource through data mining technology, otherwise S53 is executed; S53, judging whether the land resource collection quality assessment value meets the third ground resource condition. If so, the corresponding preset land resource survey area is classified as the third ground resource through data mining technology; the first ground resource condition indicates that the land resource collection quality assessment value is not lower than the value obtained from the database The preset maximum threshold of ground resource acquisition quality is obtained; the second ground resource condition indicates that the land resource acquisition quality assessment value is lower than the preset maximum threshold of ground resource acquisition quality obtained from the database, and at the same time, the land resource acquisition quality assessment value is higher than the preset minimum threshold of ground resource acquisition quality obtained from the database; the third ground resource condition indicates that the land resource acquisition quality assessment value is not higher than the preset minimum threshold of ground resource acquisition quality obtained from the database; the first ground resource indicates the preset land resource survey area corresponding to the land resource acquisition quality assessment value that meets the first ground resource condition; the second ground resource indicates the preset land resource survey area corresponding to the land resource acquisition quality assessment value that meets the second ground resource condition; the third ground resource indicates the preset land resource survey area corresponding to the land resource acquisition quality assessment value that meets the third ground resource condition.

[0027] In this embodiment, there is a close interactive relationship between the glass curtain wall spectral interference coefficient, the ground spectral interference coefficient, and the land resource collection quality assessment value. The glass curtain wall spectral interference coefficient directly affects the accuracy of the ground spectral information during the land resource collection process. When the glass curtain wall spectral interference coefficient does not meet the glass curtain wall spectral interference qualification condition, the glass curtain wall interference adjustment is required. The higher the ground spectral interference coefficient (i.e., the ground spectral interference coefficient does not meet the ground spectral interference qualification condition and the ground interference adjustment is required), the greater the interference is during the ground spectral information collection process, which will also affect the accuracy of the land resource collection data. In this application, the glass curtain wall spectral reflection interference data and the ground spectral signal interference data are represented by data obtained from any measurement location point at a preset time, and the developed city land resource collection data are represented by data obtained from any measurement location point at a preset time after the spectral information interference adjustment is performed. The glass curtain wall spectral interference coefficient, the ground spectral interference coefficient, and the land resource collection quality assessment value are interrelated and influence each other during the land resource data collection and assessment process in developed cities, which helps to optimize the land resource assessment and thereby improve the accuracy of data acquisition during the land resource survey and classification in developed cities.

[0028] It should be explained that the aforementioned database is a database for storing various types of setting data established before the design of the electrical equipment health monitoring method based on big data analysis provided in the embodiment of the present application. The database includes but is not limited to the reflectivity of the glass curtain wall, the reflection angle of the glass curtain wall, the ground reflectivity, etc., and the various numerical values ​​therein are directly set by technical personnel; for example, the preset maximum threshold value of the ground resource acquisition quality is represented by the maximum value of the land resource acquisition quality assessment value of the historical time period in the database, and the preset minimum threshold value of the ground resource acquisition quality is represented by the minimum value of the land resource acquisition quality assessment value of the historical time period in the database; through data mining technology (such as clustering analysis algorithm), the preset land resource survey area is divided into different ground resource types (first ground resources, second ground resources and third ground resources) according to the land resource acquisition quality assessment value, which helps to ensure the accuracy and reliability of the classification results of the preset land resource survey area.

[0029] Furthermore, the specific process of performing spectral information interference evaluation based on the obtained glass curtain wall spectral reflection interference data to obtain the glass curtain wall spectral interference coefficient is as follows: combining the regional light intensity and the preset urban regional light intensity maximum threshold obtained from the database to obtain the regional light intensity impact value; combining the regional light intensity impact value, the glass curtain wall reflectivity and the preset reflectivity maximum threshold obtained from the database to obtain the glass curtain wall reflectivity interference value, that is, The interference value of glass curtain wall reflectivity is used to evaluate the interference of glass curtain wall reflectivity in the preset land resource survey area. The interference value of glass curtain wall reflectivity is obtained by combining the regional light intensity impact value, glass curtain wall reflected light intensity and the preset reflected light intensity maximum threshold obtained from the database, that is, The interference value of the reflected light intensity of the glass curtain wall is used to evaluate the interference of the reflected light intensity in the preset land resource survey area. The interference value of the glass curtain wall reflection angle is obtained by combining the regional light intensity impact value, the glass curtain wall reflection angle and the preset reflection angle maximum threshold obtained from the database, that is, ; The glass curtain wall reflection angle interference value is used to evaluate the interference of the reflection angle in the preset land resource survey area; the glass curtain wall spectral interference coefficient is obtained by combining the glass curtain wall reflectivity interference value, the glass curtain wall reflected light intensity interference value and the glass curtain wall reflection angle interference value; the regional light intensity impact value is used to evaluate the impact of light intensity on the glass curtain wall in the preset land resource survey area; the glass curtain wall spectral reflection interference data includes regional light intensity, glass curtain wall reflectivity, glass curtain wall reflected light intensity and glass curtain wall reflection angle; the glass curtain wall spectral reflection interference data represents the data obtained at any measurement location point at a preset time; the glass curtain wall spectral reflection interference data is obtained through remote sensing technology and GIS (Geographic Information System) technology.

[0030] Among them, the limiting expression of the spectral interference coefficient of the glass curtain wall is as follows: ; ; ; ; ; Where, Indicates the spectral interference coefficient of the glass curtain wall in the preset land resource survey area. Indicates the reflectivity interference value of the glass curtain wall at the preset time m, Indicates the interference value of the reflected light intensity of the glass curtain wall at the preset time m, Indicates the reflection angle interference value of the glass curtain wall at the preset time m, Indicates the regional illumination intensity impact value at the preset time m, Indicates the regional light intensity at the preset time m, Indicates the reflectivity of the glass curtain wall at the preset time m, Indicates the intensity of light reflected from the glass curtain wall at the preset time m, Indicates the reflection angle of the glass curtain wall at the preset time m, Indicates the preset maximum reflectivity threshold, Indicates the preset maximum threshold of reflected light intensity. Indicates the preset maximum reflection angle threshold. Indicates the maximum threshold of light intensity in the preset urban area.

[0031] In this embodiment, the preset maximum reflectivity threshold is represented by the maximum reflectivity of the glass curtain wall in the historical time period in the database, the preset maximum reflected light intensity threshold is represented by the maximum reflected light intensity of the glass curtain wall in the historical time period in the database, the preset maximum reflection angle threshold is represented by the maximum reflection angle of the glass curtain wall in the historical time period in the database, and the preset maximum urban area illumination intensity threshold is represented by the maximum illumination intensity of the preset land resource survey area in the historical time period in the database; at a preset time, a measurement location point is randomly selected, and data is collected using remote sensing technology and GIS technology. Spectral reflectance information of the glass curtain wall is obtained using remote sensing equipment (such as a satellite remote sensor and a spectrometer), and the collected spectral reflectance information is processed and analyzed using GIS technology to obtain regional illumination intensity, glass curtain wall reflectivity, glass curtain wall reflected light intensity, and glass curtain wall reflection angle.

[0032] It's important to understand that the algorithm in this embodiment combines analysis of glass curtain wall spectral reflection interference data to determine the glass curtain wall spectral interference coefficient. Greater regional light intensity means a greater impact of light intensity on the glass curtain wall, leading to an increase in the glass curtain wall spectral interference coefficient. Greater glass curtain wall reflectivity, glass curtain wall reflected light intensity, and glass curtain wall reflection angle indicate greater interference from reflected light within the pre-determined land resource survey area, leading to an increase in the glass curtain wall spectral interference coefficient.

[0033] In the algorithm of this embodiment, the spectral reflection interference data of the glass curtain wall do not exist independently, but are interrelated and require comprehensive analysis. The increase in regional light intensity will increase the reflectivity of the glass curtain wall. When sunlight hits the glass curtain wall, the stronger the light, the more the spectrum will be reflected, thereby increasing the reflectivity of the glass curtain wall; the higher the reflectivity of the glass curtain wall, the greater the intensity of the reflected light. The intensity of the light reflected by the glass curtain wall is affected by the reflection angle. Different reflection angles will cause different distributions of the reflected light in space, thereby affecting the degree of spectral reflection interference; the higher the reflectivity of the glass curtain wall, the more light will be reflected into the surrounding environment, thereby increasing the spectral reflection interference, and then causing the spectral interference coefficient of the glass curtain wall to increase. By analyzing the comprehensive influence between the parameters, the accurate quantification of the degree of interference of the glass curtain wall on the ground spectral information in the process of evaluating the land resource data collection of developed cities is achieved, thereby achieving the improvement of the accuracy of data acquisition during the survey and classification of land resources in developed cities.

[0034] Furthermore, the ground spectrum interference coefficient is obtained by the ground reflectivity interference value and the ground radiation intensity interference value; the ground reflectivity interference value is obtained by processing the glass curtain wall reflection influence factor, the ground reflectivity and the preset ground reflectivity maximum threshold obtained from the database, that is, The glass curtain wall reflection influence factor is obtained by processing the glass curtain wall reflectivity interference value and the glass curtain wall reflected light intensity interference value; the ground reflectivity interference value is used to evaluate the interference degree of the ground reflectivity on the ground spectral information collection in the preset land resource survey area; the ground radiation intensity interference value is obtained by processing the glass curtain wall reflection influence factor, the ground radiation intensity and the preset ground radiation intensity maximum threshold obtained from the database, that is, ; The ground radiation intensity interference value is used to evaluate the degree of interference of the ground radiation intensity on the ground spectral information collection in the preset land resource survey area; the ground spectral signal interference data includes ground reflectivity and ground radiation intensity; the ground spectral signal interference data represents the data obtained at any measurement location point at the preset time; the ground spectral signal interference data is obtained through remote sensing technology and GIS technology.

[0035] Among them, the ground spectrum interference coefficient is obtained by the following method: ; ; ; Where, Indicates the ground spectrum interference coefficient within the preset land resource survey area. Indicates the ground reflectivity interference value at the preset time m, Indicates the ground radiation intensity interference value at the preset time m, represents the ground reflectivity at the preset time m, Indicates the ground radiation intensity at the preset time m, Indicates the reflectivity interference value of the glass curtain wall at the preset time m, Indicates the interference value of the reflected light intensity of the glass curtain wall at the preset time m, Indicates the preset maximum threshold of ground reflectivity. Indicates the preset maximum threshold of ground radiation intensity.

[0036] In this embodiment, the preset ground reflectivity maximum threshold is represented by the maximum value of the ground reflectivity in the historical time period in the database, and the preset ground radiation intensity threshold is represented by the maximum value of the ground radiation intensity in the historical time period in the database; at a preset time, any measurement location point is selected, and data is collected using remote sensing technology and GIS technology. The spectral reflectance information of the ground is obtained through remote sensing equipment (such as a ground spectrometer, a multispectral camera), and the collected spectral reflectance information is processed and analyzed using GIS technology to obtain the ground reflectivity and ground radiation intensity.

[0037] It should be understood that the algorithm in this embodiment combines ground spectral signal interference data analysis to determine the ground spectral interference coefficient. Greater glass curtain wall reflectivity interference values ​​and glass curtain wall reflected light intensity interference values ​​result in a greater glass curtain wall reflection impact factor, which means the glass curtain wall interferes more with ground spectral information, leading to an increase in the ground spectral interference coefficient. Greater ground reflectivity and ground radiation intensity mean greater interference with ground spectral information collection within the pre-determined land resource survey area, resulting in an increase in the ground spectral interference coefficient.

[0038] In the algorithm of this embodiment, the ground spectral signal interference data does not exist independently, but is interrelated and requires comprehensive analysis. The higher the ground reflectivity, the higher the ground radiation intensity may be. This is because the higher the ground reflectivity, the better it can reflect sunlight and the light emitted by the glass curtain wall. At the same time, the radiation emitted by the ground will be stronger, which will lead to an increase in the ground spectral interference coefficient. The higher the interference value of the glass curtain wall reflectivity and the interference value of the glass curtain wall reflected light intensity, the more light the glass curtain wall will reflect to the ground, which may lead to an increase in ground reflectivity, exacerbating the degree of interference of the glass curtain wall on the ground spectral information, and causing an increase in the ground spectral interference coefficient. By analyzing the comprehensive influence between the parameters, the accurate quantification of the interference degree of ground spectral information collection in the process of evaluating the land resource data collection in developed cities is achieved, thereby achieving an improvement in the accuracy of data acquisition during the survey and classification of land resources in developed cities.

[0039] Furthermore, the specific process of obtaining the qualified glass curtain wall spectral interference coefficient is as follows: judging whether the glass curtain wall spectral interference coefficient meets the qualified conditions for the glass curtain wall spectral interference; when the glass curtain wall spectral interference coefficient meets the qualified conditions for the glass curtain wall spectral interference, it indicates that the glass curtain wall spectral interference degree is qualified, and the corresponding glass curtain wall spectral interference coefficient is marked as a qualified glass curtain wall spectral interference coefficient; when the glass curtain wall spectral interference coefficient does not meet the qualified conditions for the glass curtain wall spectral interference, it indicates that the glass curtain wall spectral interference degree is unqualified, and the glass curtain wall interference adjustment is performed; if the glass curtain wall spectral interference coefficient is not qualified after the glass curtain wall interference adjustment, If the number does not meet the qualified conditions for the glass curtain wall spectrum interference, an alarm will be sent to the preset personnel; glass curtain wall interference adjustment includes polarized light filtering and intelligent dimming; polarized light filtering means sending a prompt to the preset personnel to suppress the reflected light waves in the preset direction through the polarization filter; intelligent dimming means automatically adjusting the transmittance and reflectivity of the curtain wall through the intelligent dimming algorithm; the qualified conditions for the glass curtain wall spectrum interference mean that the glass curtain wall spectrum interference coefficient is not higher than the average threshold value of the reference glass curtain wall spectrum interference obtained from the database; the qualified glass curtain wall spectrum interference coefficient means the glass curtain wall spectrum interference coefficient that meets the qualified conditions for the glass curtain wall spectrum interference.

[0040] In this embodiment, the reference glass curtain wall spectral interference average threshold is represented by the average value of the glass curtain wall spectral interference coefficient of the historical time period in the database; the polarization filter only allows light in a specific direction to pass through, while suppressing light in other directions. When the polarization filter is placed at a preset position point on the glass curtain wall, it can effectively reduce the reflected light waves from a specific direction; the light transmittance and reflectivity of the curtain wall are automatically adjusted through an intelligent dimming algorithm (such as an adaptive brightness adjustment algorithm) combined with a temperature sensor, an ambient light sensor, an infrared sensor, etc., which contributes to the accuracy of ground spectral information, thereby achieving an improvement in the accuracy of data acquisition during land resource surveys and classifications in developed cities.

[0041] Furthermore, the specific acquisition process of the qualified ground spectrum interference coefficient is as follows: determine whether the ground spectrum interference coefficient meets the ground spectrum interference qualified conditions; when the ground spectrum interference coefficient meets the ground spectrum interference qualified conditions, it indicates that the ground spectrum interference level is qualified, and the corresponding ground spectrum interference coefficient is marked as a qualified ground spectrum interference coefficient; when the ground spectrum interference coefficient does not meet the ground spectrum interference qualified conditions, it indicates that the ground spectrum interference level is unqualified, and ground interference adjustment is performed; if the ground spectrum interference coefficient still does not meet the ground spectrum interference qualified conditions after the ground interference adjustment, an alarm prompt is sent to the preset personnel; ground interference adjustment includes observation angle adjustment and observation time adjustment; observation angle adjustment means sending a prompt to the preset personnel to adjust the collection direction of the ground reflected light source; observation time period adjustment means sending a prompt to the preset personnel to adjust the collection time of the ground reflected light source; the ground spectrum interference qualified conditions indicate that the ground spectrum interference coefficient is not higher than the reference ground spectrum signal interference average threshold obtained from the database; the qualified ground spectrum interference coefficient represents the ground spectrum interference coefficient that meets the ground spectrum interference qualified conditions.

[0042] In this embodiment, the reference ground spectral signal interference average threshold is represented by the average value of the ground spectral interference coefficient of the historical time period in the database; when it is detected that the ground spectral interference coefficient does not meet the ground spectral interference qualification condition, the observation angle is adjusted (gradually increasing or decreasing by a preset angle) to reduce or avoid interference light from a specific direction, thereby improving the accuracy and reliability of the spectral data. By adjusting the observation time to obtain a more stable spectral signal, it is helpful to improve the accuracy and reliability of spectral acquisition related data, thereby achieving an improvement in the accuracy of data acquisition during land resource surveys and classifications in developed cities.

[0043] Furthermore, the specific method for obtaining the land resource collection quality assessment value is as follows: the spectral resolution compliance value is obtained by processing the comprehensive interference influencing factor, spectral resolution and the preset spectral resolution maximum threshold obtained from the database, that is, The spectral resolution compliance value is used to reflect the compliance of the spectral resolution in the preset land resource survey area; the spectral signal-to-noise ratio compliance value is obtained by processing the comprehensive interference influencing factor, the spectral signal signal-to-noise ratio and the preset spectral signal signal-to-noise ratio maximum threshold obtained from the database, that is, The spectral signal-to-noise ratio compliance value is used to reflect the compliance of the spectral signal-to-noise ratio in the preset land resource survey area; the spectral data volume compliance value is obtained by processing the comprehensive interference influencing factors, spectral data volume and the maximum threshold of the preset spectral data volume obtained from the database, that is, ; The spectral data volume compliance value is used to reflect the compliance of the spectral data volume in the preset land resource survey area; the spectral resolution compliance value, the spectral signal-to-noise ratio compliance value and the spectral data volume compliance value are combined to obtain the land resource collection quality assessment value; the comprehensive interference influencing factor is obtained by processing the qualified glass curtain wall spectral interference coefficient and the qualified ground spectral interference coefficient; the land resource collection data of developed cities includes spectral resolution, spectral signal-to-noise ratio and spectral data volume; the land resource collection data of developed cities represents the data obtained from any measurement location point at a preset time after the spectral information interference adjustment; the land resource collection data of developed cities is obtained through remote sensing technology and GIS technology.

[0044] Among them, the land resource collection quality assessment value is obtained through the following methods: ; ; ; ; ; Where, Indicates the land resource collection quality assessment value within the preset land resource survey area. Indicates the spectral resolution compliance value at the preset time n, Indicates the signal-to-noise ratio of the spectrum signal at the preset time n. Indicates that the amount of spectral data at the preset time n meets the value, Represents the comprehensive interference impact factor at the preset time n, Indicates the spectral resolution at the preset time n, Represents the signal-to-noise ratio of the spectral signal at the preset time n, Indicates the amount of spectral data at the preset time n, Qualified glass curtain wall spectral interference coefficient, Qualified ground spectrum interference coefficient, and qualified glass curtain wall spectrum interference coefficient and qualified ground spectrum interference coefficient are not 0, Indicates the preset maximum threshold of spectral resolution, Indicates the preset maximum threshold of the spectral signal-to-noise ratio. Indicates the maximum threshold of the preset spectral data volume.

[0045] In this embodiment, the preset maximum threshold value of spectral resolution is represented by the maximum value of spectral resolution in the historical time period in the database, the preset maximum threshold value of spectral signal-to-noise ratio is represented by the maximum value of spectral signal-to-noise ratio in the historical time period in the database, and the preset maximum threshold value of spectral data volume is represented by the maximum value of spectral data volume in the historical time period in the database; at a preset time after the spectral information interference adjustment is performed, any measurement location point is selected, and the spectral information of the land is obtained through remote sensing equipment (such as a spectral resolution remote sensor, a spectrometer), the signal-to-noise ratio of the spectral signal is analyzed through a signal-to-noise ratio meter, and the collected data is processed and analyzed through GIS technology to obtain the spectral resolution, the spectral signal-to-noise ratio and the spectral data volume.

[0046] It should be understood that the algorithm in this embodiment combines data collected from developed cities with the qualified glass curtain wall spectral interference coefficient and the qualified ground spectral interference coefficient to derive the land resource collection quality assessment value. Higher qualified glass curtain wall spectral interference coefficients and qualified ground spectral interference coefficients indicate greater interference with the quality of ground spectral information collection, resulting in a lower land resource collection quality assessment value. Higher spectral resolution, spectral signal-to-noise ratio, and spectral data volume indicate better ground spectral information collection quality, resulting in an increased land resource collection quality assessment value.

[0047] In the algorithm of this embodiment, the data of land resource collection in developed cities, the spectral interference coefficient of qualified glass curtain walls, and the spectral interference coefficient of qualified ground do not exist independently, but are interrelated and require comprehensive analysis. The higher the spectral interference coefficient of qualified glass curtain walls and the spectral interference coefficient of qualified ground, the greater the interference to the ground spectral information, which may lead to increased distortion or error of the spectral data, and thus reduce the signal-to-noise ratio of the spectral signal, resulting in a decrease in the land resource collection quality assessment value; the higher the spectral resolution, the more refined the spectral feature information can be provided, which may lead to an increase in the amount of spectral data, and thus increase the land resource collection quality assessment value. By analyzing the comprehensive influence between the parameters, the accurate quantification of the collection quality of the ground spectral information in the process of evaluating the land resource data collection in developed cities is achieved, thereby achieving an improvement in the accuracy of data acquisition during the survey and classification of land resources in developed cities.

[0048] like Figure 2As shown, it is a structural diagram of the land resource survey and classification system based on artificial intelligence provided by an embodiment of the present application. The land resource survey and classification system based on artificial intelligence provided by an embodiment of the present application includes a spectral information interference assessment module, a ground spectral signal interference assessment module, a spectral information interference adjustment module, a developed city land resource collection and assessment module and a developed city land classification module: wherein the spectral information interference assessment module is used to perform spectral information interference assessment based on the acquired glass curtain wall spectral reflection interference data to obtain a glass curtain wall spectral interference coefficient, and the glass curtain wall spectral interference coefficient is used to assess the degree of interference of the glass curtain wall on the ground spectral information during the acquisition of developed city land resource data; the ground spectral signal interference assessment module is used to perform ground spectral signal interference assessment based on the acquired ground spectral signal interference data to obtain a ground spectral interference coefficient, and the ground spectral interference coefficient is used to assess the degree of interference of ground spectral information collection during the acquisition of developed city land resource data; The information interference adjustment module is used to determine whether to perform spectral information interference adjustment based on the acquired glass curtain wall spectral interference coefficient and ground spectral interference coefficient to obtain qualified glass curtain wall spectral interference coefficient and qualified ground spectral interference coefficient. The spectral information interference adjustment includes glass curtain wall interference adjustment and ground interference adjustment; the developed city land resource collection and evaluation module is used to perform developed city land resource collection and evaluation based on the qualified glass curtain wall spectral interference coefficient, the qualified ground spectral interference coefficient and the acquired developed city land resource collection data to obtain a land resource collection quality evaluation value. The land resource collection quality evaluation value is used to evaluate the collection quality of ground spectral information during the developed city land resource data collection process; the developed city land classification module is used to classify developed city land according to the land resource collection quality evaluation value. The developed city land classification means sending prompts to preset personnel to classify the preset land resource survey areas corresponding to the accurate evaluation values ​​of developed city land resource collection based on artificial intelligence.

[0049] Among them, the embodiment of the present application also provides a computer-readable storage medium for storing a program, which, when executed by a processor, implements an artificial intelligence-based land resource survey and classification method.

[0050] In this embodiment, the glass curtain wall spectral reflection interference data, the ground spectral signal interference data and the developed city land resource collection data are obtained through remote sensing technology and GIS technology. The preset land resource survey area is divided into the first ground resource, the second ground resource and the third ground resource through data mining technology (such as cluster analysis algorithm). The spectral information interference assessment module and the ground spectral signal interference assessment module respectively perform interference assessment on these data. The spectral information interference adjustment module determines whether to perform spectral information interference adjustment. When the glass curtain wall spectral interference coefficient does not meet the glass curtain wall spectral interference qualification condition, the glass curtain wall interference adjustment is required. When the ground spectral interference coefficient does not meet the ground spectral interference qualification condition, the glass curtain wall interference adjustment is required. Interference qualification conditions require ground interference adjustment; the data that has been adjusted for spectral information interference (qualified glass curtain wall spectral interference coefficient, qualified ground spectral interference coefficient) is evaluated for collection quality through the developed city land resource collection and evaluation module, and the developed city land classification module performs land classification according to the land resource collection quality evaluation value; the spectral information interference evaluation module, the ground spectral signal interference evaluation module, the spectral information interference adjustment module, the developed city land resource collection and evaluation module and the developed city land classification module interact with each other to jointly realize the accurate investigation and classification of developed city land resources, thereby achieving improved accuracy in data acquisition during the investigation and classification of developed city land resources.

[0051] To sum up, the embodiment of the present application performs a spectral information interference assessment to obtain the glass curtain wall spectral interference coefficient, then performs a ground spectral signal interference assessment to obtain the ground spectral interference coefficient, and then determines whether to perform spectral information interference adjustment based on the glass curtain wall spectral interference coefficient and the ground spectral interference coefficient. Finally, a developed city land resource collection assessment is performed to obtain a land resource collection quality assessment value and perform developed city land classification, thereby achieving an improvement in the effectiveness of investigating and classifying developed city land resources, and further achieving an improvement in the accuracy of data acquisition during the investigation and classification of developed city land resources, effectively solving the problem of interference in data acquisition during the investigation and classification of developed city land resources in the prior art.

[0052] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Thus, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0053] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowcharts and / or block diagrams, as well as combinations of processes and / or blocks in the flowcharts and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowcharts and / or block diagrams. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0054] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0055] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0056] Although the preferred embodiments of the present invention have been described, those skilled in the art may make additional changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0057] Obviously, those skilled in the art may make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if such changes and modifications fall within the scope of the claims and their equivalents, the present invention is intended to include such changes and modifications.

Claims

1. The land resource survey and classification method based on artificial intelligence is characterized by: The following steps are involved: S1, performing spectral information interference evaluation based on the acquired glass curtain wall spectral reflection interference data to obtain a glass curtain wall spectral interference coefficient, wherein the glass curtain wall spectral interference coefficient is used to evaluate the degree of interference of the glass curtain wall on the ground spectral information during the acquisition of developed city land resource data; S2, performing a ground spectrum signal interference evaluation based on the acquired ground spectrum signal interference data to obtain a ground spectrum interference coefficient; S3, based on the obtained glass curtain wall spectral interference coefficient and the ground spectral interference coefficient, determining whether to perform spectral information interference adjustment to obtain a qualified glass curtain wall spectral interference coefficient and a qualified ground spectral interference coefficient, wherein the spectral information interference adjustment includes glass curtain wall interference adjustment and ground interference adjustment; S4, performing a developed city land resource acquisition assessment based on the qualified glass curtain wall spectral interference coefficient, the qualified ground spectral interference coefficient, and the acquired developed city land resource acquisition data to obtain a land resource acquisition quality assessment value, wherein the land resource acquisition quality assessment value is used to assess the acquisition quality of ground spectral information during the developed city land resource data acquisition process; S5, classify developed urban land according to the land resource collection quality assessment value.

2. The land resource survey and classification method based on artificial intelligence according to claim 1, characterized in that: The specific process of performing spectral information interference evaluation based on the acquired glass curtain wall spectral reflection interference data to obtain the glass curtain wall spectral interference coefficient is as follows: The glass curtain wall reflectivity interference value is obtained by combining the regional light intensity impact value, the glass curtain wall reflectivity and the preset reflectivity maximum threshold obtained from the database; The interference value of the reflected light intensity of the glass curtain wall is obtained by combining the regional light intensity impact value, the reflected light intensity of the glass curtain wall and the preset maximum threshold of the reflected light intensity obtained from the database; The glass curtain wall reflection angle interference value is obtained by combining the regional light intensity impact value, the glass curtain wall reflection angle and the preset reflection angle maximum threshold obtained from the database; The spectral interference coefficient of the glass curtain wall is obtained by combining the glass curtain wall reflectivity interference value, the glass curtain wall reflected light intensity interference value and the glass curtain wall reflection angle interference value.

3. The land resource survey and classification method based on artificial intelligence as claimed in claim 2, characterized in that: The regional light intensity impact value is used to evaluate the impact of light intensity on glass curtain walls in a preset land resource survey area; The glass curtain wall spectral reflection interference data includes regional light intensity, glass curtain wall reflectivity, glass curtain wall reflected light intensity and glass curtain wall reflection angle; The ground spectrum interference coefficient is obtained by the ground reflectivity interference value and the ground radiation intensity interference value; The ground spectrum interference coefficient is used to evaluate the interference degree of ground spectrum information collection during the process of collecting land resource data in developed cities.

4. The land resource survey and classification method based on artificial intelligence as claimed in claim 3, characterized in that: The ground reflectivity interference value is obtained by processing the glass curtain wall reflection influence factor, the ground reflectivity and the preset ground reflectivity maximum threshold obtained from the database; The glass curtain wall reflection influence factor is obtained by processing the glass curtain wall reflectivity interference value and the glass curtain wall reflected light intensity interference value; The ground radiation intensity interference value is obtained by processing the glass curtain wall reflection influence factor, the ground radiation intensity, and a preset ground radiation intensity maximum threshold value obtained from a database.

5. The land resource survey and classification method based on artificial intelligence as claimed in claim 1, characterized in that: The specific process of obtaining the qualified glass curtain wall spectral interference coefficient is as follows: Determine whether the spectral interference coefficient of the glass curtain wall meets the qualified conditions for the spectral interference of the glass curtain wall; When the glass curtain wall spectrum interference coefficient meets the glass curtain wall spectrum interference qualified condition, it indicates that the glass curtain wall spectrum interference degree is qualified, and the corresponding glass curtain wall spectrum interference coefficient is marked as a qualified glass curtain wall spectrum interference coefficient; When the glass curtain wall spectrum interference coefficient does not meet the glass curtain wall spectrum interference qualified conditions, it indicates that the glass curtain wall spectrum interference level is unqualified and the glass curtain wall interference adjustment is performed; The glass curtain wall interference adjustment includes polarized light filtering and intelligent dimming; The qualified condition for the spectral interference of the glass curtain wall indicates that the spectral interference coefficient of the glass curtain wall is not higher than the average threshold value of the spectral interference of the reference glass curtain wall obtained from the database.

6. The land resource survey and classification method based on artificial intelligence according to claim 1, characterized in that: The specific process of obtaining the qualified ground spectrum interference coefficient is as follows: Determine whether the ground spectrum interference coefficient meets the ground spectrum interference qualification condition; When the ground spectrum interference coefficient meets the ground spectrum interference qualified condition, it indicates that the ground spectrum interference degree is qualified, and the corresponding ground spectrum interference coefficient is marked as a qualified ground spectrum interference coefficient; When the ground spectrum interference coefficient does not meet the ground spectrum interference qualification condition, it indicates that the ground spectrum interference level is unqualified and the ground interference adjustment is performed; The ground interference adjustment includes observation angle adjustment and observation time adjustment; The ground spectrum interference qualified condition indicates that the ground spectrum interference coefficient is not higher than the reference ground spectrum signal interference average threshold obtained from the database.

7. The land resource survey and classification method based on artificial intelligence according to claim 1, characterized in that: The specific method for obtaining the land resource acquisition quality assessment value is as follows: The spectral resolution compliance value is obtained by processing the interference influence factor, spectral resolution and the preset spectral resolution maximum threshold obtained from the database; The spectral signal-to-noise ratio compliance value is obtained by processing the comprehensive interference influence factor, the spectral signal signal-to-noise ratio and the preset spectral signal signal-to-noise ratio maximum threshold obtained from the database; The spectral data volume compliance value is obtained by processing the interference influencing factors, the spectral data volume and the preset spectral data volume maximum threshold obtained from the database; The land resource acquisition quality assessment value is obtained by combining the spectral resolution compliance value, the spectral signal-to-noise ratio compliance value and the spectral data volume compliance value; The comprehensive interference influencing factor is obtained by processing the qualified glass curtain wall spectral interference coefficient and the qualified ground spectral interference coefficient.

8. The land resource survey and classification method based on artificial intelligence according to claim 1, characterized in that: The specific process of classifying developed urban land based on the land resource collection quality assessment value is as follows: S51, determining whether the land resource collection quality assessment value meets the first ground resource condition; if so, classifying the corresponding preset land resource survey area as the first ground resource through data mining technology; otherwise, executing S52; S52, determining whether the land resource collection quality assessment value meets the second ground resource condition; if so, classifying the corresponding preset land resource survey area as the second ground resource through data mining technology; otherwise, executing S53; S53, determining whether the land resource collection quality assessment value meets the third ground resource condition; if so, classifying the corresponding preset land resource survey area as the third ground resource by using data mining technology; The first ground resource condition indicates that the land resource acquisition quality assessment value is not lower than a preset ground resource acquisition quality maximum threshold obtained from a database; The second ground resource condition indicates that the land resource acquisition quality assessment value is lower than a preset ground resource acquisition quality maximum threshold obtained from the database, and at the same time, the land resource acquisition quality assessment value is higher than a preset ground resource acquisition quality minimum threshold obtained from the database; The third ground resource condition indicates that the land resource acquisition quality assessment value is not higher than a preset ground resource acquisition quality minimum threshold obtained from the database.

9. The land resource survey and classification system based on artificial intelligence is characterized by: It includes spectral information interference assessment module, ground spectral signal interference assessment module, spectral information interference adjustment module, developed city land resource collection and assessment module and developed city land classification module: The spectral information interference assessment module is used to perform spectral information interference assessment based on the acquired glass curtain wall spectral reflection interference data to obtain a glass curtain wall spectral interference coefficient. The glass curtain wall spectral interference coefficient is used to assess the degree of interference of the glass curtain wall on the ground spectral information during the acquisition of developed city land resource data. The ground spectrum signal interference evaluation module is used to perform ground spectrum signal interference evaluation based on the acquired ground spectrum signal interference data to obtain a ground spectrum interference coefficient; The spectral information interference adjustment module is used to determine whether to perform spectral information interference adjustment based on the obtained glass curtain wall spectral interference coefficient and the ground spectral interference coefficient to obtain a qualified glass curtain wall spectral interference coefficient and a qualified ground spectral interference coefficient, wherein the spectral information interference adjustment includes glass curtain wall interference adjustment and ground interference adjustment; The developed city land resource acquisition and assessment module is used to evaluate the developed city land resource acquisition through the qualified glass curtain wall spectral interference coefficient, the qualified ground spectral interference coefficient, and the acquired developed city land resource acquisition data to obtain a land resource acquisition quality assessment value, and the land resource acquisition quality assessment value is used to evaluate the acquisition quality of ground spectral information during the developed city land resource data acquisition process; The developed city land classification module is used to classify developed city land according to the land resource collection quality assessment value.

10. A computer-readable storage medium for storing a program, wherein when the program is executed by a processor, the land resource survey and classification method based on artificial intelligence as claimed in any one of claims 1 to 8 is implemented.

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