Three-dimensional visualization modeling method for land natural resources based on multi-source data fusion

Abstract

The application discloses a land natural resource three-dimensional visualization modeling method based on multi-source data fusion, relates to the technical field of image processing, and comprises the following steps: acquiring multiple land resource data and related information source data of the same region; calculating the repeated information influence degree of the related information source on different land resources based on the land resource data and the related information source data; performing reduction processing on the repeated content existing in interaction and transformation in each of the related information sources based on the repeated information influence degree, so as to obtain reduced information source data; and performing fusion processing on the reduced information source data, and establishing a land resource three-dimensional model based on the data after the fusion processing. The application achieves the technical effect of improving the efficiency of constructing the land natural resource three-dimensional model.

Description

Technical Field

[0001] This application relates to the field of image processing technology, and in particular to a method for three-dimensional visualization modeling of land natural resources based on multi-source data fusion. Background Technology

[0002] Traditional land resource management relies on two-dimensional maps and statistical tables, which are difficult to intuitively express three-dimensional spatial characteristics such as topographic relief, underground geological structure, and vertical distribution of vegetation. In order to address global challenges such as climate change, soil erosion, and biodiversity conservation, related technologies collect data from various information sources related to land natural resources, integrate these data sources, and use the integrated multi-source data to construct a three-dimensional model to visualize the spatial situation of land natural resources, so as to facilitate subsequent planning, analysis and processing of land natural resources.

[0003] However, data from some information sources related to land natural resources may be converted between each other, resulting in some duplication of information between these sources. The above method will reuse this data containing duplicate information, delaying the generation time of the 3D model of land natural resources and reducing the efficiency of constructing the 3D model of land natural resources. Summary of the Invention

[0004] The main purpose of this application is to provide a three-dimensional visualization modeling method for land natural resources based on multi-source data fusion. It aims to solve the technical problem in related technologies that, when constructing a three-dimensional model of land natural resources, some information source data containing duplicate information are reused, which delays the generation time of the three-dimensional model of land natural resources and reduces the efficiency of constructing the three-dimensional model of land natural resources.

[0005] To achieve the above objectives, embodiments of this application provide a method for three-dimensional visualization modeling of land natural resources based on multi-source data fusion, including:

[0006] Acquire multiple land resource data and related information source data for the same region;

[0007] Based on land resource data and related information source data, the degree of duplication of information from related information sources on different land resources is calculated.

[0008] Based on the impact of duplicate information, duplicate content that involves interactive transformation in each relevant information source is removed to obtain the removed information source data.

[0009] The deleted source data is merged and processed, and a three-dimensional land resource model is built using the merged data.

[0010] In one possible implementation of this application, based on land resource data and related information source data, the degree of duplication of information from related information sources on different land resources is calculated, including:

[0011] By overlapping the resource coverage map corresponding to the land resource data and the information source distribution map corresponding to the relevant information source data, an effective information distribution map of the relevant information source data on each land resource is obtained.

[0012] Based on the information branch types in the effective information distribution map, the information source gap value of the relevant information source data is calculated.

[0013] Based on the information source difference value, the information source overlap degree is calculated;

[0014] Determine a second number of relevant information source types contained in each land resource;

[0015] For any relevant information source, the degree of duplicate information influence of the relevant information source on different land resources is calculated based on the second quantity, the information source overlap degree, and the information source difference value.

[0016] In one possible implementation of this application, the information source gap value of the relevant information source data is calculated based on the information branch type in the effective information distribution map, including:

[0017] Set the overlapping areas in the effective distribution map of information as effective distribution areas;

[0018] Determine the first number of information branch types included in the effective distribution area, and the first area occupied by each information branch type;

[0019] Based on the first area and the first quantity, calculate the information source gap value of the relevant information source data.

[0020] In one possible implementation of this application, the information source overlap degree is calculated based on the information source difference value, including:

[0021] Calculate the second area of ​​the relevant information sources in each land resource, and set the second area as the basic resource information distribution quantity;

[0022] Based on the mean distribution of basic resource information, the classification threshold of relevant information sources is determined;

[0023] If the distribution of basic resource information of land resources is greater than the classification threshold, the land resources are classified into the high-content resource set; otherwise, the land resources are classified into the low-content resource set.

[0024] Based on the high-content resource set, low-content resource set, and information source gap value, calculate the information source overlap degree between different land resources.

[0025] In one possible implementation of this application, the information source overlap degree of relevant information sources between different land resources is calculated based on the high-content resource set, the low-content resource set, and the information source gap value, including:

[0026] Calculate the first resource distribution quantity and the first information source drop value of the relevant information sources on the current land resources, and the second resource distribution quantity and the second information source drop value of the relevant information sources in the high-content resource set / low-content resource set excluding the current land resources;

[0027] Calculate the first difference between the first resource distribution quantity and the second resource distribution quantity, and the second difference between the first information source drop value and the second information source drop value, respectively.

[0028] Based on the first and second differences, the overlap of relevant information sources among different land resources is calculated.

[0029] In one possible implementation of this application, based on the degree of influence of duplicate information, duplicate content with interactive transformation in each relevant information source is reduced to obtain the reduced information source data, including:

[0030] Based on the impact of duplicate information, the information deletion requirement of the same relevant information source in different land resources is calculated. The information deletion requirement is used to characterize the degree to which each relevant information source can be deleted.

[0031] Based on the information reduction requirement, duplicate content with interactive conversion in each relevant information source is reduced to obtain the reduced information source data.

[0032] In one possible implementation of this application, the information censoring requirement of the same relevant information source in different land resources is calculated based on the impact of duplicate information, including:

[0033] Based on the transformation relationship of each information branch type in the relevant information sources, determine the transformation intensity of each information branch type and the identification information source in the relevant information sources;

[0034] Based on the conversion intensity, the conversion balance of the identification information source on each land resource is calculated;

[0035] Based on the impact of duplicate information and the balance of transformation, the information deletion demand of the same relevant information source in different land resources is calculated.

[0036] In one possible implementation of this application, based on the transformation relationship of each information branch type in the relevant information source, the transformation strength of each information branch type and the identification information source in the relevant information source are determined, including:

[0037] Identify the transformation relationships between different information branch types in relevant information sources;

[0038] When the transformation relationship in the relevant information source is a vertical transformation relationship in three-dimensional space, the relevant information source is set as the identification information source;

[0039] Set the relevant information sources that represent the transformation direction between information branch types in the information source as transformation representation information sources;

[0040] Calculate the third area occupied by the transformation and representation information source in each effective information distribution region, and the average data of the transformation and representation information source in the third area;

[0041] Based on the third area and the data mean, the conversion intensity of each information branch type is calculated.

[0042] In one possible implementation of this application, based on the degree of information reduction requirement, duplicate content with interactive transformation in each relevant information source is reduced to obtain the reduced information source data, including:

[0043] For any land resource, identify information sources whose information deletion needs exceed a preset deletion threshold and set them as information sources to be cleaned up;

[0044] Based on the transformation intensity of each information branch type in the data source to be cleaned, calculate the information duplication rate of each pair of information branch types with mutual transformation relationship;

[0045] For each pair of information branch types that have a mutual conversion relationship, if the information duplication rate is greater than the preset duplication rate threshold, the information branch type will be set as a clearable branch type pair.

[0046] The total amount of clearable branch types is reduced to obtain the reduced information source data.

[0047] In one possible implementation of this application, the deleted source data is fused, and a three-dimensional land resource model is established using the fused data, including:

[0048] The deleted information source data is fused using a preset data fusion algorithm to obtain the fused data.

[0049] The fused data is input into a three-dimensional spatial model to generate a three-dimensional model of land resources.

[0050] This application provides a method for three-dimensional visualization modeling of land natural resources based on multi-source data fusion. Compared with related technologies, which collect various information source data, including multiple types of duplicate information, and reuse this duplicate information source data, thus delaying the generation time of the three-dimensional land natural resource model and reducing the efficiency of building the three-dimensional land natural resource model, this application obtains multiple land resource data and related information source data from the same region. Based on the land resource data and related information source data, it calculates the degree of influence of duplicate information from different land resources. Then, based on the degree of influence of duplicate information, it removes duplicate information that interacts and transforms in each related information source. The removed information source data is then fused, and the three-dimensional land resource model is built using the fused data. This reduces the interference of duplicate content that transforms between each other in three-dimensional space on the modeling efficiency, thereby improving the efficiency of building a three-dimensional land resource model through multi-source data fusion. Attached Figure Description

[0051] Figure 1 This is a flowchart illustrating the first embodiment of the land natural resource three-dimensional visualization modeling method based on multi-source data fusion in this application;

[0052] Figure 2 This is a schematic diagram illustrating the effective distribution of information involved in the land natural resource 3D visualization modeling method based on multi-source data fusion in this application;

[0053] Figure 3 This is a flowchart illustrating the second embodiment of the land natural resource 3D visualization modeling method based on multi-source data fusion in this application;

[0054] Figure 4 This is a schematic diagram of the device structure of the hardware operating environment involved in the embodiments of this application. Detailed Implementation

[0055] It should be understood that the specific embodiments described herein are merely illustrative of this application and are not intended to limit this application.

[0056] This application provides a method for three-dimensional visualization modeling of land natural resources based on multi-source data fusion. In the first embodiment of this method, refer to... Figure 1 The methods include:

[0057] Step S10: Obtain multiple land resource data and related information source data for the same region;

[0058] Step S20: Based on land resource data and related information source data, calculate the degree of duplication of information from relevant information sources on different land resources;

[0059] Step S30: Based on the impact of duplicate information, duplicate content with interactive transformation in each relevant information source is deleted to obtain the deleted information source data.

[0060] Step S40: The deleted information source data is fused and processed, and a three-dimensional land resource model is established using the fused data.

[0061] This embodiment aims to improve the efficiency of constructing a three-dimensional land resource model through multi-source data fusion.

[0062] The specific steps are as follows:

[0063] Step S10: Obtain multiple land resource data and related information source data for the same region.

[0064] As an example, the land natural resource three-dimensional visualization modeling method based on multi-source data fusion can be applied to the land natural resource three-dimensional visualization modeling device based on multi-source data fusion. The land natural resource three-dimensional visualization modeling device based on multi-source data fusion belongs to the land natural resource three-dimensional visualization modeling system based on multi-source data fusion, and the land natural resource three-dimensional visualization modeling system based on multi-source data fusion belongs to the land natural resource three-dimensional visualization modeling equipment based on multi-source data fusion.

[0065] As an example, land resource data and related information source data can be obtained by acquiring land resource data and related information source data from a geographic monitoring cloud platform.

[0066] As an example, land resource data can include arable land resources, building land resources, forest land resources, grassland resources, etc. Each land resource has a unique land use, such as arable land resources for cultivation and building land resources for residential purposes.

[0067] As an example, relevant information source data can be water resources, precipitation, landforms, land erosion, etc. Each relevant information source can be a natural resource that exists based on the land (such as water resources), or it can be information of a certain dimension that is extended from the land (such as precipitation, landforms, land erosion, slope, land thickness, evaporation, vegetation coverage, etc.).

[0068] Step S20: Based on land resource data and related information source data, calculate the degree of duplication of information from related information sources on different land resources.

[0069] As an example, by acquiring land resource data and related information source data, we can obtain distribution maps of these two resources. Based on these distribution maps, we can determine the duplicate content of related information sources on different land resources, and then calculate the degree of influence of duplicate information.

[0070] As an example, the impact of duplicate information is mainly used to analyze the duplicate content generated by the mutual transformation of the same relevant information source in the three-dimensional space of different land resources. This is used to characterize the degree of influence of the same relevant information source on different land resources, and then to determine whether to delete it in the future.

[0071] Among them, step S20, which is based on multi-source data fusion for three-dimensional visualization modeling of land natural resources, also includes steps S21 to S25, including:

[0072] Step S21: Overlay the resource coverage map corresponding to the land resource data and the information source distribution map corresponding to the relevant information source data in different regions to obtain an effective information distribution map of the relevant information source data on each land resource.

[0073] As an example, when conducting analysis, each land resource and related information source can be set as an information source to obtain a data distribution map of each information source. For each land resource, the land area occupied by each land resource will not overlap with each other. Land resources can be regarded as the conditions for land parcel division, thereby analyzing different land resources.

[0074] Taking the i-th relevant information source as an example, the i-th... The distribution maps of relevant information sources are regionally overlaid with each land resource cover map, focusing on resource coverage within the land resource cover map. The distribution of each relevant information source in the corresponding region is divided and preserved to obtain the first... A map showing the effective distribution of relevant information sources across each land resource.

[0075] Step S22: Based on the information branch type in the effective information distribution map, calculate the information source gap value of the relevant information source data.

[0076] As an example, for each relevant information source, there are multiple information branch types / information branch type representations (for example, each different data point in precipitation is a representation of a small branch, and slight erosion, mild erosion, moderate erosion, and severe erosion in land erosion are all representations of a small branch). These will be distributed to different degrees within the effective distribution area of ​​the effective information distribution map to characterize the information content of the corresponding relevant information source.

[0077] As an example, when a relevant information source includes more information branch types on land resources, and the greater the difference in their distribution content, it indicates that the information gap of this relevant information source on land resources is more obvious. Therefore, it is necessary to calculate the information source gap value of the relevant information source data to reflect the degree of difference of various information branch types in each relevant information source.

[0078] The step S22, which calculates the information source gap value of relevant information source data based on the information branch type in the effective information distribution map, includes:

[0079] Set the overlapping areas in the effective distribution map as the effective distribution areas.

[0080] As an example, the overlapping areas retained in the effective information distribution map are set as the effective distribution areas of information. When there are no overlapping areas in the effective information distribution map, there are no effective distribution areas in the effective information distribution map.

[0081] As an example, a schematic diagram of effective information distribution is shown below. Figure 2 As shown, by Figure 2 Therefore, by regionally overlaying the distribution map of the i-th relevant information source with the land cover map of the j-th land resource, an effective distribution map of the relevant information source superimposed on the land resource is obtained.

[0082] Determine the first number of information branch types included in the effective distribution area, and the first area occupied by each information branch type.

[0083] As an example, each effective distribution area includes multiple information branch types. The first quantity is the total number of these information branch types, and the first area is the area occupied by each information branch type in the effective distribution area.

[0084] Based on the first area and the first quantity, calculate the information source gap value of the relevant information source data.

[0085] As an example, the information source gap value can be calculated as follows:

[0086] For example, the first The relevant information sources in the first The various information branch types on each land resource are arranged in a predetermined order (e.g., from low to high representation level), based on the first number of information branch types. First area Calculate the first The relevant information sources in the first Information gap on land resources

[0087]

[0088] Where, in the formula Indicates the first The relevant information sources in the first The first number of information branch types on each land resource Indicates the first The relevant information sources in the first The first area of ​​the nth information branch type on a land resource Indicates the first The relevant information sources in the first The first area of ​​the (n+1)th information branch type on a land resource.

[0089] Step S23: Calculate the information source overlap based on the information source difference value.

[0090] As an example, relevant information sources are based on the dimensional information of the area occupied by land resources. Each relevant information source has a corresponding numerical distribution in the area occupied by different land resources. The distribution of these land resources is subject to their own relatively unique scenario constraints (for example, forest resources are for land areas with steep slopes, high rainfall, and high land erosion, while grassland resources are for land areas with gentle slopes, low rainfall, and high land erosion).

[0091] The information source gap value reflects, to some extent, the relatively unique scenario constraints of each land resource. It is formed by the common representation of the information gap of the same land resource by multiple relevant information sources. Within these scenario constraints, different land resources will have highly similar information in some dimensions (e.g., forest resources and grassland resources have highly similar information in the dimension of land erosion). This highly similar information will continuously transform between different land resources, changing its similarity content. When the i-th relevant information source contains highly similar information between different land resources, and the more similar the information content gap is, the more significant the difference in information content. The greater the overlap of information sources among corresponding land resources, the higher the degree of overlap of each information source across different land resources can be calculated.

[0092] Step S23, which calculates the information source overlap based on the information source difference value, includes:

[0093] Calculate the second area of ​​the relevant information sources in each land resource, and set the second area as the basic resource information distribution quantity;

[0094] As an example, the second area is the area occupied by the relevant information source in different land resources. For each relevant information source, the second area is set as the distribution of basic resource information in different land resources.

[0095] Based on the mean distribution of basic resource information, the classification threshold of relevant information sources is determined;

[0096] As an example, the mean distribution of basic resource information in each land resource is calculated, and this mean distribution is used as the classification threshold for the current relevant information sources. .

[0097] If the distribution of basic resource information of land resources is greater than the classification threshold, the land resources are classified into the high-content resource set; otherwise, the land resources are classified into the low-content resource set.

[0098] As an example, based on the classification threshold Classify different land resources, for the first One relevant information source, Greater than The set of land resources is set as the first A high-content collection of relevant information sources; Less than or equal to The set of land resources is set as the first A collection of low-content resources related to a single relevant information source.

[0099] Based on the high-content resource set, low-content resource set, and information source gap value, calculate the information source overlap degree between different land resources.

[0100] As an example, based on the high-content resource set, the low-content resource set, the information source gap value, and the calculation of the first... The degree of overlap of relevant information sources among different land resources within the high / low content resource set. .

[0101] The information source gap value includes the first information source gap value and the second information source gap value. Based on the high-content resource set, the low-content resource set, and the information source gap value, the information source overlap degree of relevant information sources among different land resources is calculated, including:

[0102] Calculate the first resource distribution quantity and the first information source drop value of the relevant information sources on the current land resources, and the second resource distribution quantity and the second information source drop value of the relevant information sources in the high-content resource set / low-content resource set other than the current land resources;

[0103] Calculate the first difference between the first resource distribution quantity and the second resource distribution quantity, and the second difference between the first information source drop value and the second information source drop value, respectively.

[0104] Based on the first and second differences, the overlap of relevant information sources among different land resources is calculated.

[0105] Specifically, based on the high-content resource set, the low-content resource set, and the information source gap value, the information source overlap degree of relevant information sources among different land resources is calculated. The method can be:

[0106]

[0107] in, This represents the total amount of land resources within the high / low content resource set; This indicates that the set of high / low content resources, excluding the first one... The total amount of remaining resources other than land resources This represents the distribution quantity of the first resource, specifically the distribution quantity of basic resource information of the i-th relevant information source on the m-th land resource. Indicates the distribution quantity of the second resource. This represents the information source gap value of the first information source, specifically the information source gap value of the i-th relevant information source on the m-th land resource. This represents the drop value of the second information source. =1e-5, to prevent the denominator from being 0.

[0108] Step S24: Determine the second number of relevant information source types contained in each land resource.

[0109] As an example, the second quantity represents the number of types of relevant information sources contained in each land resource.

[0110] Step S25: For any relevant information source, calculate the degree of duplicate information influence of the relevant information source on different land resources based on the second quantity, information source overlap degree, and information source difference value.

[0111] As an example, the number of related information sources derived from different land resources (such as water resources) may not be the same, and their respective proportions may differ, leading to different emphases on the same related information source for different land resources:

[0112] According to the second number of relevant information source types , No. The degree of overlap of relevant information sources across different land resources Calculate the first The relevant information sources in the first Impact of duplicate information on land resources :

[0113]

[0114] in, , This indicates that the i-th relevant information source is in the i-th position. Information gap value on land resources, Indicates the first The second number of relevant information sources on land resources ( ) indicates normalized calculation.

[0115] Step S30: Based on the impact of duplicate information, duplicate content with interactive transformation in each relevant information source is deleted to obtain the deleted information source data.

[0116] As an example, based on the degree of influence of duplicate information from the same relevant information source on different land resources, we analyze the duplicate content generated by the mutual transformation of the same relevant information source in the three-dimensional space of different land resources, calculate the information deletion requirement of the same relevant information source on different land resources, and then delete the duplicate content with interactive transformation in each relevant information source according to the information deletion requirement, so as to obtain the deleted information source data and thus eliminate the interference caused by duplicate data.

[0117] Step S40: The deleted information source data is fused and processed, and a three-dimensional land resource model is established using the fused data.

[0118] As an example, the reduced source data does not contain duplicate data or data that can be transformed into each other. Therefore, the reduced source data is fused, which greatly reduces the amount of information required for modeling. Then, the fused data is used to build a three-dimensional land resource model, which improves the modeling efficiency of the three-dimensional land resource model.

[0119] The step S40, which involves fusing the deleted source data and establishing a three-dimensional land resource model using the fused data, includes:

[0120] The deleted information source data is fused using a preset data fusion algorithm to obtain the fused data.

[0121] The fused data is input into a three-dimensional spatial model to generate a three-dimensional model of land resources.

[0122] As an example, the preset data fusion algorithm can be a neural network fusion algorithm, which is mainly used to fuse the information source data after deletion to obtain the fused data. Then, the fused data is used to construct a three-dimensional model to visualize the spatial situation of land natural resources.

[0123] This application provides a method for three-dimensional visualization modeling of land natural resources based on multi-source data fusion. Compared with related technologies, which collect various information source data, including multiple types of duplicate information, and reuse this duplicate information source data, thus delaying the generation time of the three-dimensional land natural resource model and reducing the efficiency of building the three-dimensional land natural resource model, this application obtains multiple land resource data and related information source data from the same region. Based on the land resource data and related information source data, it calculates the degree of influence of duplicate information from different land resources. Then, based on the degree of influence of duplicate information, it removes duplicate information that interacts and transforms in each related information source. The removed information source data is then fused, and the three-dimensional land resource model is built using the fused data. This reduces the interference of duplicate content that transforms between each other in three-dimensional space on the modeling efficiency, thereby improving the efficiency of building a three-dimensional land resource model through multi-source data fusion.

[0124] Furthermore, referring to Figure 3 Based on the first embodiment of this application, another embodiment of this application is provided. In this embodiment, step S30, which involves deleting duplicate content with interactive transformation in each relevant information source based on the degree of influence of duplicate information, to obtain the deleted information source data, includes:

[0125] Step S31: Based on the impact of duplicate information, calculate the information deletion requirement of the same relevant information source in different land resources. The information deletion requirement is used to characterize the degree of deletion of each relevant information source.

[0126] As an example, the information reduction requirement degree represents the degree to which each relevant information source can be reduced. It is mainly determined based on the transformation intensity of each information branch type in the relevant information source. There are transformation relationships between the various information branch types, and the transformation relationships correspond to transformation intensity. The more unbalanced the transformation intensity between information branch types, the greater the emphasis of land resources on relevant information sources. This indicates that the content of duplicate content contained in the current relevant information sources on land resources interferes more with 3D modeling. It reflects that the duplicate content due to transformation needs to be reduced more. Then, the information reduction requirement degree of the information source is calculated to determine whether the information source needs to be reduced.

[0127] The step S31, which calculates the information censorship demand for the same relevant information source in different land resources based on the impact of duplicate information, includes:

[0128] Based on the transformation relationship of each information branch type in the relevant information sources, determine the transformation intensity of each information branch type and the identification information source in the relevant information sources;

[0129] As an example, when constructing a 3D model using data from all collected information sources, the data from the information sources is allocated to the XYZ axes of the 3D coordinate system to construct a three-dimensional model, giving the constructed 3D model both horizontal and vertical extension characteristics. For some information sources, the information distribution in 3D space has a vertical distribution, and the information branches of this vertical distribution can be transformed into each other (for example, water resources include information branches such as surface water and groundwater; surface water can be transformed into groundwater through infiltration, and groundwater can be transformed into surface water through capillary action of the soil, topographical confluence, etc.).

[0130] As an example, for information sources where there is mutual transformation between vertically distributed information branches, the direction and intensity of the transformation between the internal information branches are usually reflected indirectly through the content of other information sources (e.g., precipitation, etc., which mainly reflect the intensity and direction of the transformation from surface water to groundwater; evaporation, vegetation coverage, etc., which mainly reflect the intensity and direction of the transformation from surface water to groundwater).

[0131] As an example, the transformation relationship between each information branch type is mainly a vertical transformation relationship, and the transformation strength between each information branch type is calculated based on this transformation relationship.

[0132] The steps for determining the transformation strength of each information branch type and the identifying information source in the relevant information sources, based on the transformation relationships of each information branch type in the relevant information sources, include:

[0133] Identify the transformation relationships between different information branch types in relevant information sources;

[0134] When the transformation relationship in the relevant information source is a vertical transformation relationship in three-dimensional space, the relevant information source is set as the identification information source;

[0135] As an example, a trained neural network is used to identify all relevant information sources, identify information sources whose information branch types have vertical relationships in three-dimensional space, and set them as the identifier information sources for converting information into vertical space.

[0136] Set the relevant information sources that represent the transformation direction between information branch types in the information source as transformation representation information sources;

[0137] As an example, relevant information sources within the identifying information source that can characterize the transformation direction between information branch types are set as transformation characterization information sources in the identifying information source, and the transformation direction between the corresponding information branch types is marked.

[0138] For example, water resources are the source of information that is transformed into vertical spatial information. Information sources such as precipitation, evaporation, and vegetation coverage are the sources of information that transform water resources into information that is the source of information. Among them, precipitation is the source of information that represents the direction of transformation from surface water to groundwater, while evaporation and vegetation coverage are the sources of information that represent the direction of transformation from groundwater to surface water.

[0139] Calculate the third area occupied by the transformation and representation information source in each effective information distribution region, and the average data of the transformation and representation information source in the third area;

[0140] As an example, different land resources have different actual functions and requirements for land, which in turn impose different restrictions on related natural resources, thus constraining the transformation relationships within land natural resources; selecting any pair of information branches from the transformation representation information source that have a mutual transformation relationship. The statistical transformation of each information branch type into another information branch type represents the information source (i.e., , ), which occupies the third largest area in the current effective distribution area of ​​land resources. And calculate the information sources representing each transformation in the third area. The mean of the data in For each source of transformed information, it occupies a portion of the total area S1. This portion includes data of multiple information branch types, each corresponding to a specific distribution value and a data mean. This is the average value calculated for the information branch types within the area occupied by each transformation representation information source.

[0141] Based on the third area and the data mean, the conversion intensity of each information branch type is calculated.

[0142] As an example, according to the third area Data mean Calculate information branch type Conversion intensity between :

[0143]

[0144] Wherein, the upper part of the formula represents The corresponding conversion intensity, the lower half of which indicates The conversion intensity, express The area occupied by the information source representing the transformation. express The transformation corresponds to the average data of the information branch types in the information source. express The area occupied by the information source representing the transformation. express The transformation corresponds to the average data of the information branch type in the information source.

[0145] Based on the conversion intensity, the conversion balance of the identification information source on each land resource is calculated;

[0146] As an example, a single identifier information source typically involves multiple information branch types that transform into each other within a single land resource (e.g., three information branch types v1, v2, and v3, ordered spatially from shallow to deep, with transformations from v1 to v2, v2 to v3, v3 to v2, and v2 to v1). Therefore, it is necessary to integrate the transformation intensity of all information branch types with mutual transformation relationships to obtain the comprehensive internal information transformation relationships of a single identifier information source, and to synthesize the transformation intensity of all information branch types with mutual transformation relationships. Calculate the first The first identification information source in the first The balance of land resource transformation :

[0147]

[0148] in, Indicates the first The first identification information source in the first The total number of information branch types distributed vertically from deep to shallow on each land resource; Indicates the first The first identification information source in the first The total number of information branch types vertically distributed from shallow to deep on each land resource, H c,w,x,x+1 H represents the transformation intensity of the x-th information branch type from the c-th identification information source to the (x+1)-th information branch type in the vertical distribution from deep to shallow on the w-th land resource; c,w,y,y+1 This represents the transformation intensity from the y-th information branch type to the y+1-th information branch type in the vertical distribution of the c-th identification information source on the w-th land resource, from shallow to deep. =1e-5, to prevent the denominator from being 0.

[0149] Based on the impact of duplicate information and the balance of transformation, the information deletion demand of the same relevant information source in different land resources is calculated.

[0150] As an example, the more unbalanced the transformation intensity between information branch types, the greater the emphasis of land resources on the corresponding identifier information source, indicating that the first... The first identification information source in the first The greater the amount of repetitive content on a land resource that interferes with 3D modeling, the more repetitive content needs to be removed due to the transformation: according to the... The first identification information source in the first Impact of duplicate information on land resources Conversion balance Calculate the first The first identification information source in the first The information reduction demand for each land resource can be calculated as follows:

[0151]

[0152] Step S32: Based on the information reduction requirement, duplicate content with interactive transformation in each relevant information source is reduced to obtain the reduced information source data.

[0153] As an example, based on the degree of information reduction requirement, duplicate content with interactive conversion in various relevant information sources is removed to obtain the reduced information source data.

[0154] The step S32, which involves removing duplicate content with interactive conversion from various relevant information sources based on the degree of information reduction requirement, to obtain the reduced information source data, includes:

[0155] For any land resource, identify information sources whose information deletion needs exceed a preset deletion threshold and set them as information sources to be cleaned up;

[0156] As an example, the preset deletion threshold can be 0.6, 0.7, etc., and there is no specific limitation.

[0157] As an example, for the same land resource, information on demand can be reduced. Identification information sources with a value greater than 0.7 (preset value) are considered as information sources to be cleared for the same land resource.

[0158] Based on the transformation intensity of each information branch type in the data source to be cleaned, calculate the information duplication rate of each pair of information branch types with mutual transformation relationship;

[0159] As an example, for each source of information to be cleaned on the same land resource, the conversion intensity is determined based on the conversion strength of each pair of information branches with mutual conversion relationships. Calculate the information repetition rate for each pair of information branches that have a mutual transformation relationship. :

[0160]

[0161] Where, in the formula express The intensity of transformation, express The intensity of transformation, Indicates information branch type The information redundancy rate between them.

[0162] For each pair of information branch types that have a mutual conversion relationship, if the information duplication rate is greater than the preset duplication rate threshold, the information branch type will be set as a clearable branch type pair.

[0163] As an example, the preset repetition rate threshold can be 0.6 or 0.7, and there is no specific limitation.

[0164] As an example, information duplication rate Greater than Each pair of information branches with a mutual conversion relationship is set as a clearable branch type pair with clearable data.

[0165] The total amount of clearable branch types is reduced to obtain the reduced information source data.

[0166] As an example, once a pair of clearable branch types is identified, within each information branch type pair... The total amount of information sources representing the transformation of smaller, more subtle branch types is reduced, with the reduction amount being... , where U is the total amount of information sources that transform and represent information sources.

[0167] In this embodiment, by calculating the information reduction demand of the same relevant information source in different land resources, and then performing reduction processing on each information source according to the information reduction demand, the duplicate data in the information source data is reduced, thereby improving the modeling efficiency of the 3D model.

[0168] Reference Figure 4 , Figure 4 This is a schematic diagram of the device structure of the hardware operating environment involved in the embodiments of this application.

[0169] like Figure 4As shown, the land natural resource 3D visualization modeling device based on multi-source data fusion may include: a processor 1001, a memory 1005, and a communication bus 1002. The communication bus 1002 is used to realize the connection and communication between the processor 1001 and the memory 1005.

[0170] Optionally, the land natural resource 3D visualization modeling device based on multi-source data fusion may also include a user interface, a network interface, a camera, RF (Radio Frequency) circuitry, sensors, a WiFi module, etc. The user interface may include a display screen and an input submodule such as a keyboard; optional user interfaces may also include standard wired or wireless interfaces. The network interface may include standard wired or wireless interfaces (such as a Wi-Fi interface).

[0171] Those skilled in the art will understand that Figure 4 The structure of the land natural resource 3D visualization modeling device based on multi-source data fusion shown in the figure does not constitute a limitation on the land natural resource 3D visualization modeling device based on multi-source data fusion. It may include more or fewer components than shown in the figure, or combine certain components, or have different component arrangements.

[0172] like Figure 4 As shown, the memory 1005, serving as a storage medium, may include an operating system, a network communication module, and a land natural resource 3D visualization modeling program based on multi-source data fusion. The operating system is a program that manages and controls the hardware and software resources of the land natural resource 3D visualization modeling device based on multi-source data fusion, supporting the operation of the land natural resource 3D visualization modeling program based on multi-source data fusion and other software and / or programs. The network communication module is used to enable communication between the various components within the memory 1005, as well as communication with other hardware and software in the land natural resource 3D visualization modeling system based on multi-source data fusion.

[0173] exist Figure 4 In the land natural resource three-dimensional visualization modeling device based on multi-source data fusion shown, the processor 1001 is used to execute the land natural resource three-dimensional visualization modeling program based on multi-source data fusion stored in the memory 1005 to implement the steps of the land natural resource three-dimensional visualization modeling method based on multi-source data fusion mentioned above.

[0174] The specific implementation of the land natural resource three-dimensional visualization modeling device based on multi-source data fusion in this application is basically the same as the embodiments of the land natural resource three-dimensional visualization modeling method based on multi-source data fusion described above, and will not be repeated here.

[0175] It should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or system. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or system that includes that element.

[0176] The sequence numbers of the embodiments in this application are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments.

[0177] Through the above description of the embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus necessary general-purpose hardware platforms. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) as described above, and includes several instructions to cause a terminal device (which may be a mobile phone, computer, server, air conditioner, or network device, etc.) to execute the methods of the various embodiments of this application.

[0178] The above are merely preferred embodiments of this application and do not limit the scope of this application. Any equivalent structural or procedural transformations made based on the description and drawings of this application, or direct or indirect applications in other related technical fields, are similarly included within the scope of protection of this application.

[0179] It should be noted that the order of the above embodiments of the present invention is merely for descriptive purposes and does not represent the superiority or inferiority of the embodiments. The processes depicted in the accompanying drawings do not necessarily require a specific or sequential order to achieve the desired result. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0180] The various embodiments in this specification are described in a progressive manner. The same or similar parts between the various embodiments can be referred to each other. Each embodiment focuses on describing the differences from other embodiments.

Claims

1. A method for three-dimensional visualization modeling of land natural resources based on multi-source data fusion, characterized in that, The method includes: Acquire multiple land resource data and related information source data for the same region, including water resource data, precipitation data, geomorphological data, and land erosion data; Based on the land resource data and related information source data, calculate the degree of duplication of information from related information sources on different land resources; The calculation of the degree of duplicate information influence of relevant information sources on different land resources based on the land resource data and relevant information source data includes: By overlapping the resource coverage map corresponding to the land resource data and the information source distribution map corresponding to the relevant information source data, an effective information distribution map of the relevant information source data on each land resource is obtained. Based on the information branch types in the effective information distribution map, the information source gap value of the relevant information source data is calculated. Each relevant information source includes multiple information branch types. The information branch types are used to represent the degree of importance of the distribution of the relevant information sources in different regions. The information source gap value is used to characterize the degree of difference between various information branch types in each relevant information source. Based on the information source drop value, the information source overlap degree is calculated. The information source overlap degree is used to characterize the degree of overlap of the information content of each relevant information source distributed on different land resources. The calculation of information source overlap based on the information source discrepancy value includes: Calculate the second area of ​​the relevant information source in each land resource, and set the second area as the basic resource information distribution quantity; Based on the average distribution of the basic resource information, the classification threshold of the relevant information sources is determined; If the distribution of basic resource information of the land resource is greater than the classification threshold, the land resource is classified into the high-content resource set; otherwise, the land resource is classified into the low-content resource set. Calculate the first resource distribution quantity and the first information source drop value of the relevant information source on the current land resource in the high-content resource set / low-content resource set, and the second resource distribution quantity and the second information source drop value of the relevant information source in the high-content resource set / low-content resource set other than the current land resource; Calculate the first difference between the first resource distribution quantity and the second resource distribution quantity, and the second difference between the first information source drop value and the second information source drop value, respectively; Based on the first difference and the second difference, the information source overlap degree between different land resources is calculated, wherein the information source overlap degree is calculated as follows: in, This represents the total amount of land resources within the high / low content resource set; This indicates that the set of high / low content resources, excluding the first one... The total amount of remaining resources other than land resources This represents the distribution quantity of the first resource, specifically the distribution quantity of basic resource information of the i-th relevant information source on the m-th land resource. Indicates the distribution quantity of the second resource. This represents the information source gap value of the first information source, specifically the information source gap value of the i-th relevant information source on the m-th land resource. This represents the drop value of the second information source. =1e-5; Determine a second number of relevant information source types contained in each land resource; For any of the aforementioned relevant information sources, the degree of duplicate information influence of the relevant information sources on different land resources is calculated based on the second quantity, the degree of overlap of the information sources, and the degree of information source discrepancy. The degree of duplicate information influence is used to characterize the degree of influence of duplicate content generated by the mutual transformation of the same relevant information source on different land resources. The method for calculating the impact of duplicate information is as follows: in, , This indicates that the i-th relevant information source is in the i-th position. Information gap value on land resources, Indicates the first The second number of relevant information sources on land resources Indicates the degree of overlap in information sources; Based on the impact of the repeated information, the repeated content with interactive transformation in each of the relevant information sources is deleted to obtain the deleted information source data. The deleted information source data is fused and processed, and a three-dimensional land resource model is established based on the fused data.

2. The land natural resource three-dimensional visualization modeling method based on multi-source data fusion as described in claim 1, characterized in that, The calculation of the information source gap value of the relevant information source data based on the information branch type in the effective information distribution map includes: Set the overlapping areas in the effective distribution map of the information as effective distribution areas; Determine the first number of information branch types included in the effective distribution area, and the first area occupied by each information branch type; Based on the first area and the first quantity, the information source gap value of the relevant information source data is calculated, wherein the information source gap value is calculated as follows: Where, in the formula Indicates the first The relevant information sources in the first The first number of information branch types on each land resource Indicates the first The relevant information sources in the first The first area of ​​the nth information branch type on a land resource Indicates the first The relevant information sources in the first The first area of ​​the (n+1)th information branch type on a land resource.

3. The land natural resource three-dimensional visualization modeling method based on multi-source data fusion as described in claim 1, characterized in that, Based on the degree of influence of the duplicate information, the duplicate content with interactive transformation in each of the relevant information sources is reduced to obtain the reduced information source data, including: Based on the impact of the duplicate information, the information deletion requirement of the same relevant information source in different land resources is calculated. The information deletion requirement is used to characterize the degree to which each of the relevant information sources can be deleted. The calculation of the information censorship demand for the same relevant information source in different land resources based on the degree of impact of duplicate information includes: Based on the transformation relationship of each information branch type in the relevant information sources, the transformation intensity of each information branch type and the identification information source in the relevant information sources are determined. Each of the relevant information sources has a vertical distribution, and the transformation relationship of each information branch type is a vertical transformation relationship between different relevant information sources. The identification information source is a relevant information source with a vertical transformation relationship. The transformation intensity is used to characterize the strength value of the transformation from one information branch type to another. The step of determining the transformation strength of each information branch type and the identification information source in the relevant information sources based on the transformation relationship of each information branch type in the relevant information sources includes: Identify the transformation relationships of each information branch type in the relevant information sources; When the transformation relationship in the relevant information source is a vertical transformation relationship in three-dimensional space, the relevant information source is set as an identification information source; The relevant information sources that characterize the transformation direction between information branch types in the identified information sources are set as transformation characterization information sources; Calculate the third area occupied by the transformation characterization information source in each effective distribution region, and the average data of the transformation characterization information source in the third area; Based on the third area and the data mean, the conversion intensity of each information branch type is calculated, wherein the conversion intensity is calculated as follows: in, Indicates the third area, This represents the data mean, where the upper part of the formula indicates the information branch type. The corresponding conversion intensity, the lower half of which indicates The conversion intensity, express The area occupied by the information source representing the transformation. express The transformation corresponds to the average data of the information branch types in the information source. express The area occupied by the information source representing the transformation. express The average data of the information branch type in the information source corresponding to the transformation; Based on the transformation intensity, the transformation balance degree of the identification information source on each of the land resources is calculated. The transformation balance degree is used to characterize the degree of balance of transformation intensity among different information branch types. The transformation balance degree is calculated as follows: in, Indicates the first The first identification information source in the first The total number of information branch types distributed vertically from deep to shallow on each land resource; Indicates the first The first identification information source in the first The total number of information branch types vertically distributed from shallow to deep on each land resource, H c,w,x,x+1 H represents the transformation intensity of the x-th information branch type from the c-th identification information source to the (x+1)-th information branch type in the vertical distribution from deep to shallow on the w-th land resource; c,w,y,y+1 This represents the transformation intensity from the y-th information branch type to the y+1-th information branch type in the vertical distribution of the c-th identification information source on the w-th land resource, from shallow to deep. =1e-5; Based on the impact of duplicate information and the transformation balance, the information censorship demand for the same relevant information source in different land resources is calculated. The calculation method for the information censorship demand is as follows: in, Impact of duplicate information Conversion balance; Based on the required information reduction, duplicate content with interactive conversion in each of the relevant information sources is reduced to obtain the reduced information source data.

4. The land natural resource three-dimensional visualization modeling method based on multi-source data fusion as described in claim 3, characterized in that, Based on the information reduction requirement, the duplicate content with interactive conversion in each of the relevant information sources is reduced to obtain the reduced information source data, including: For any of the aforementioned land resources, the identified information sources whose information deletion demand exceeds a preset deletion threshold are set as information sources to be cleaned up; Based on the conversion intensity of each information branch type in the information source to be cleaned, the information duplication rate of each pair of information branch types with mutual conversion relationships is calculated, wherein the information duplication rate is calculated as follows: Where, in the formula Indicates information branch type The intensity of transformation, Indicates information branch type The intensity of transformation, Indicates information branch type Information redundancy rate between them; For each pair of information branch types that have a mutual conversion relationship, if the information repetition rate is greater than a preset repetition rate threshold, then the information branch type is set as a clearable branch type pair; The total amount of the clearable branch type is reduced to obtain the reduced information source data.

5. The land natural resource three-dimensional visualization modeling method based on multi-source data fusion as described in claim 1, characterized in that, The step of fusing the deleted information source data and establishing a three-dimensional land resource model using the fused data includes: The deleted information source data is fused using a preset data fusion algorithm to obtain fused data. The fused data is input into a three-dimensional spatial model to generate a three-dimensional land resource model.

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