A method and device for investigating illegal building clues

Abstract

The application discloses a kind of illegal building clues and device of investigation, by the building data obtained is standardized to form standard unified, information complete building data;According to the comparison of historical building data and current building data, determine the change type of building;When the building is changed building, according to illegal building clues determine whether the building is illegal building;From the building data of standardization, extract illegal building as the investigation result of illegal building clues.Using the embodiment of the application, illegal building clues can be automatically investigated from standardized building data, and all kinds of illegal building clues can be accurately investigated, and the cycle of illegal building investigation is shortened.

Description

Technical Field

[0001] This invention relates to the field of illegal building investigation, and in particular to a method and apparatus for investigating clues to illegal buildings. Background Technology

[0002] The current main technical means for investigating illegal construction clues is to use optical remote sensing image data to obtain information on a large area of ​​terrain and buildings, and then use image recognition, change detection, and 3D modeling to obtain information on changes in buildings. The advantages of this technology are speed, flexibility, and accuracy, and it can cover a large area of ​​urban and rural areas. At the same time, it can improve the efficiency and quality of investigations and can promptly detect new illegal constructions. However, remote sensing data is easily affected by weather, and it is usually difficult to obtain sufficient remote sensing data in restricted flight zones and no-fly zones. It is usually necessary to obtain building data through on-site inspections and door-to-door surveys, and then manually screen and judge illegal construction clues in combination with remote sensing image data to discover suspected illegal constructions and information such as building structures.

[0003] In existing technologies, optical remote sensing images mainly extract building outlines from image features and then compare them. This can only identify illegal constructions whose building outlines have changed. It also requires manual inspection, which may result in errors and omissions and consumes a lot of manpower and time. Summary of the Invention

[0004] The technical problem to be solved by the present invention is to provide a method and apparatus for investigating clues of illegal construction, which can realize comprehensive and automatic investigation of clues of illegal construction and shorten the investigation cycle.

[0005] To address the above technical problems, embodiments of the present invention provide a method for investigating clues related to illegal construction, comprising:

[0006] Acquire historical building data, which includes standardized historical vector spatial data and historical image data of the buildings;

[0007] Acquire current building data, perform standardization operations on the current building data, and combine it with historical building data to obtain the current vector space data and current image data of the building;

[0008] By comparing the current vector space data with the historical vector space data, the change type of the building is determined, and the change type includes existing buildings and changed buildings;

[0009] Based on the characteristics of illegal construction, extract clues about illegal construction in the changed buildings; the clues about illegal construction include new construction on vacant land, expansion on the original site, demolition and reconstruction, addition on the original site, and other illegal constructions.

[0010] Buildings with clues of illegal construction are selected from the current vector space data, and verified based on the historical image data to obtain buildings that meet the definition of illegal construction;

[0011] Export the current vector space data of the buildings that meet the definition of illegal construction, as the investigation results of clues to illegal construction.

[0012] As an improvement to the above solution, after exporting the current vector space data of the building that meets the definition of illegal construction as the result of the investigation of clues to illegal construction, the method further includes:

[0013] Update the historical building data based on the current building data after standardized operations.

[0014] As an improvement to the above solution, the step of acquiring current building data, standardizing the current building data, and combining it with historical building data to obtain the current vector spatial data and current image data of the building includes:

[0015] The spatial information of the current building data is vectorized in the same coordinate system to obtain the current vector spatial data.

[0016] Acquire remote sensing image data, convert the remote sensing image data into IMG format, and obtain image data;

[0017] Based on the image data, topological repair is performed on the vector space data to ensure that the vector space data do not overlap.

[0018] Based on the historical building data, assign values ​​to the attributes of the current vector spatial data; the attributes include the building's base area, building area, number of floors, and registered area.

[0019] As an improvement to the above solution, the step of assigning attribute values ​​to the current vector spatial data by combining the historical building data includes:

[0020] Calculate the polygon area of ​​the vector patch in the current vector space data, and assign the polygon area to the base area attribute of the corresponding building.

[0021] When the historical building data already contains the historical building area and historical number of floors of a building, the historical building area is assigned to the building area attribute of the current vector space data, and the historical number of floors is assigned to the number of floors attribute of the current vector space data.

[0022] By utilizing spatial relationships, the certified area in the historical building data is attached to the certified area attribute of the current building data.

[0023] As an improvement to the above scheme, the comparison between the current vector space data and the historical vector space data determines the change type of the building. The change type includes existing buildings and changed buildings, including:

[0024] If the current vector space data of a building has the same number of floors as the historical vector space data, and the difference in the base area does not exceed a preset first area threshold and the difference in the building area does not exceed a preset second area threshold, then the building is determined to be an existing building.

[0025] Otherwise, the building is determined to be a modified building.

[0026] As an improvement to the above solution, the step of extracting clues about illegal constructions from the changed buildings based on their characteristics includes:

[0027] The illegal construction is characterized by the historical vector space data showing it as vacant land, while the current vector space shows an existing building, and the building area exceeds the area recorded on the certificate. In this case, the illegal construction clue is the addition of a new vacant land.

[0028] As an improvement to the above solution, the step of extracting clues about illegal constructions from the changed buildings based on their characteristics includes:

[0029] The illegal construction is characterized by the difference between the base area of ​​the current vector space data and the base area of ​​the historical vector space data exceeding a preset third area threshold, and the number of layers of the current vector space data and the historical vector space data being the same. In this case, the illegal construction clue is an expansion on the original site.

[0030] As an improvement to the above solution, the step of filtering out buildings with the clues of illegal construction from the current vector space data and verifying them based on the historical image data to obtain buildings that meet the definition of illegal construction includes:

[0031] The building to be expanded on the original site is selected from the current vector space data;

[0032] Based on the historical image data, the year in which the building first appeared in its entirety in the historical image data is taken as the year the building was constructed.

[0033] Verify whether the stated year of construction is in violation of regulations. If it is, the building is deemed to meet the definition of an illegal building; otherwise, the building is deemed not to meet the definition of an illegal building.

[0034] As an improvement to the above solution, the step of utilizing spatial correlation to attach the certified area from the historical building data to the certified area attribute of the current building data includes:

[0035] When the vector plot of the current building data falls completely within the vector plot of the historical building data, the certified area of ​​the historical building data is assigned to the certified area attribute of the current building data.

[0036] When a portion of the vector patch of the current building data falls within the vector patch of the historical building data, the area of ​​the vector patch with the largest intersecting area is assigned to the carrying area attribute of the current building data.

[0037] This invention also provides a device for investigating clues to illegal construction, comprising:

[0038] The historical building data acquisition module is used to acquire historical building data, which includes standardized historical vector spatial data and historical image data of the buildings.

[0039] The current building data acquisition module is used to acquire current building data, perform standardization operations on the current building data, and combine it with the historical building data to obtain the current vector space data and current image data of the building.

[0040] The building change type determination module is used to compare the current vector space data and the historical vector space data to determine the change type of the building, which includes existing buildings and changed buildings.

[0041] The illegal construction clue extraction module is used to extract illegal construction clues from the changed buildings according to the characteristics of the illegal construction; the illegal construction clues include new construction on vacant land, expansion on the original site, demolition and reconstruction, addition on the original site, and other illegal constructions;

[0042] The illegal construction verification module is used to filter out buildings with illegal construction clues from the current vector space data, and verify them according to the historical image data to obtain buildings that meet the definition of illegal construction;

[0043] The illegal construction investigation result generation module is used to export the current vector space data of the buildings that meet the definition of illegal construction, as the investigation result of illegal construction clues.

[0044] Compared with existing technologies, the present invention discloses a method and apparatus for investigating clues to illegal construction. This method standardizes acquired building data to form standardized and complete building data. It then determines the type of change in a building by comparing historical and current building data. When a building is a changed building, it determines whether the building is an illegal structure based on clues to its illegal construction. Finally, it extracts illegal buildings from the standardized building data as the investigation result for the illegal construction clues. Using this invention, illegal construction clues can be automatically investigated from standardized building data, and various types of illegal construction clues can be comprehensively and accurately identified, shortening the investigation cycle. Attached Figure Description

[0045] Figure 1 This is a flowchart illustrating the steps of a method for investigating clues to illegal construction provided in an embodiment of the present invention;

[0046] Figure 2 This is a schematic diagram of the structure of a device for investigating clues to illegal construction provided in an embodiment of the present invention. Detailed Implementation

[0047] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0048] In the description and claims, it should be understood that the terms "first," "second," etc., used in the description and claims are only for the purpose of distinguishing the description of the same technical features, and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated, nor necessarily the order of description or chronological order. The terms are interchangeable where appropriate. Therefore, a feature defined as "first" or "second" may explicitly or implicitly include at least one of that feature.

[0049] See Figure 1 This is a flowchart illustrating the steps of the method for investigating clues to illegal construction provided in this embodiment of the invention. In this embodiment, the method for investigating clues to illegal construction is specifically executed through steps S1 to S6:

[0050] S1. Obtain historical building data, which includes historical vector spatial data and historical image data of buildings after standardization.

[0051] Understandably, the historical building data refers to data in a unified format obtained by standardizing historically acquired building data. In practical applications, this standardization can be performed on the acquired building data in real time, and when updated building data is acquired, the standardized building data is added to the historical building data to achieve continuous updates. Alternatively, when there is a need to investigate clues about illegal construction, the historical building data can be uniformly acquired and standardized to serve as historical building data.

[0052] S2. Obtain the current building data, perform standardization operations on the current building data, and combine it with the historical building data to obtain the current vector space data and current image data of the building.

[0053] It should be noted that the historical building data and the current building data are divided based on building data at different times, and the format of the current building data after standardization is consistent with the format of the historical building data.

[0054] S3. Compare the current vector space data and the historical vector space data to determine the change type of the building. The change type includes existing buildings and changed buildings.

[0055] S4. Based on the characteristics of illegal construction, extract clues of illegal construction in the changed buildings; the clues of illegal construction include new construction on vacant land, expansion on the original site, demolition and reconstruction, addition on the original site and other illegal constructions.

[0056] In existing technologies, changes in optical remote sensing images at different times are typically used to extract clues about illegal constructions. However, current methods extract building outlines using image features and compare the building outlines at different times to determine if illegal construction has occurred. In other words, existing technologies can only identify illegal constructions where the building outline has changed, such as new construction on vacant land or expansion on the original site. Using the embodiments of this invention, more comprehensive building information can be obtained, leading to the extraction of more comprehensive clues about illegal constructions and significantly reducing labor and time costs.

[0057] S5. Filter out buildings with the clues of illegal construction from the current vector space data, and verify them according to the historical image data to obtain buildings that meet the definition of illegal construction.

[0058] Understandably, the term "changing buildings" refers to buildings whose appearance is inconsistent between the historical building data and the current building data. However, not all buildings with clues of illegal construction are illegal buildings and further verification is required, which improves the accuracy of investigating clues of illegal construction.

[0059] S6. Export the current vector space data of the buildings that meet the definition of illegal construction, as the investigation results of clues to illegal construction.

[0060] Furthermore, a building database can be constructed to store historical building data, and the current building data can be stored in the building database after the analysis of the current building data is completed. By constructing a building database, the time required for investigating clues of illegal construction can be further shortened, and the long-term workflow can be simplified.

[0061] Preferably, the source of the current building data includes at least one of remote sensing imagery, topographic maps, cadastral data, and manual survey data.

[0062] By standardizing the building data from multiple sources, the format of the building data from multiple sources can be unified, and the building data from multiple sources can be merged to obtain building data with complete information.

[0063] As a preferred embodiment, after exporting the current vector space data of the building that meets the definition of illegal construction as the result of the investigation of clues to illegal construction, the method for investigating clues to illegal construction further includes:

[0064] Update the historical building data based on the current building data after standardized operations.

[0065] It is understandable that the standardization processing method of the current building data and the historical building data is consistent. After the analysis of the current building data is completed, the investigation results of the current illegal construction clues can be obtained. It can be regarded as the expiration of the current building data. Therefore, the current building data can be updated to the historical building data. There is no need to re-standardize the building data at each time illegal construction clues are investigated, which reduces the time cost in the process of investigating illegal construction clues.

[0066] In a preferred embodiment, the steps of acquiring current building data, standardizing the current building data, and combining it with historical building data to obtain the current vector spatial data and current image data of the building are performed through steps S21 to S24.

[0067] S21. Vectorize the spatial information of the current building data in the same coordinate system to obtain the current vector spatial data.

[0068] For example, the spatial information of the current building data includes the building's coordinates, shape, spatial relationships with other entities, and regional spatial structure. By vectorizing the spatial information of the current building data, current vector spatial data can be obtained, which includes vector plots and attribute values ​​for building area.

[0069] S22. Acquire remote sensing image data and convert the remote sensing image data into IMG format to obtain image data.

[0070] It is understandable that remote sensing image data acquired from different sources may be in different formats. The description of converting the remote sensing image data to IMG format is merely an example. The IMG format supports the storage of single-band and multi-band remote sensing image data. Currently, the technology for processing IMG format remote sensing image data is relatively mature, enabling convenient processing of remote sensing image data. By converting the remote sensing image data to IMG format, the remote sensing image data can be processed and analyzed uniformly. In practical applications, the remote sensing image data can also be uniformly converted to other formats, such as BSQ format, ECW format, etc., without affecting the beneficial effects achieved by this invention.

[0071] S23. Based on the image data, perform topological repair on the vector space data so that the vector patterns of the vector space data do not overlap.

[0072] S24. Assign values ​​to the attributes of the current vector space data based on the historical building data; the attributes include the building's base area, building area, number of floors, and registered area.

[0073] It should be noted that the remote sensing image data also contains spatial information. Therefore, the processing of the remote sensing image includes vectorization and format conversion, which generate vector spatial data and image data respectively.

[0074] Preferably, the step of performing topological repair on the vector space data based on the image data, so that the vector patches of the vector space data do not overlap, includes:

[0075] Using topology tools, overlapping vector vector patches are filtered out from the vector space data to obtain overlapping vector vector patches;

[0076] If the overlapping vector patterns completely overlap, then delete the overlapping vector patterns;

[0077] If the overlapping vector patterns partially overlap, then the boundaries of the overlapping vector patterns are modified based on the image data.

[0078] Since the current building data may come from multiple sources, and data from multiple sources may describe the same building, vector space data generated in the same coordinate system may have overlapping vector patches. If there are completely overlapping vector patches, it means that data from different sources describe the building the same way, so the overlapping vector patches can be deleted. If there are partially overlapping vector patches, it means that data from different sources have conflicting descriptions of the building. In this case, the vector patches should be further corrected by combining the latest image data to obtain more accurate vector space data.

[0079] As a preferred implementation, assigning attribute values ​​to the current vector spatial data in conjunction with the historical building data includes:

[0080] Calculate the polygon area of ​​the vector patch in the current vector space data, and assign the polygon area to the base area attribute of the corresponding building.

[0081] When the historical building data already contains the historical building area and historical number of floors of a building, the historical building area is assigned to the building area attribute of the current vector space data, and the historical number of floors is assigned to the number of floors attribute of the current vector space data.

[0082] By utilizing spatial relationships, the certified area in the historical building data is attached to the certified area attribute of the current building data.

[0083] Preferably, the step of using spatial association to attach the certified area from the historical building data to the certified area attribute of the current building data includes:

[0084] When the vector plot of the current building data falls completely within the vector plot of the historical building data, the certified area of ​​the historical building data is assigned to the certified area attribute of the current building data.

[0085] When a portion of the vector patch of the current building data falls within the vector patch of the historical building data, the area of ​​the vector patch with the largest intersecting area is assigned to the carrying area attribute of the current building data.

[0086] It should be noted that cadastral data typically records the certified area of ​​buildings. When the obtained building data is cadastral data, vector spatial data is also generated. The corresponding vector plots in the vector spatial data represent the certified building area of ​​the building. If the building does not have any illegal construction, the vector plot of the current building will necessarily fall entirely within the vector plots of the historical building data. In this case, the certified area of ​​the historical building data can be directly assigned to the certified area attribute of the current building data. If the building has illegal construction, such as expansion on the original site, the vector plot of the current building data may partially fall within the vector plots of the historical building data. In this case, the area of ​​the vector plot with the largest intersecting area can represent the certified area of ​​the building, and its building area is represented by the area of ​​the vector plot of the current building data.

[0087] Preferably, the step of comparing the current vector space data and the historical vector space data to determine the change type of the building includes existing buildings and changed buildings, including:

[0088] If the current vector space data of a building has the same number of floors as the historical vector space data, and the difference in the base area does not exceed a preset first area threshold and the difference in the building area does not exceed a preset second area threshold, then the building is determined to be an existing building.

[0089] Otherwise, the building is determined to be a modified building.

[0090] As a preferred implementation, the step of extracting clues about illegal constructions from the altered buildings based on their characteristics includes:

[0091] The illegal construction is characterized by the historical vector space data showing it as vacant land, while the current vector space shows an existing building, and the building area exceeds the area recorded on the certificate. In this case, the illegal construction clue is the addition of a new vacant land.

[0092] As a preferred implementation, the step of extracting clues about illegal constructions from the altered buildings based on their characteristics includes:

[0093] The illegal construction is characterized by the difference between the base area of ​​the current vector space data and the base area of ​​the historical vector space data exceeding a preset third area threshold, and the number of layers of the current vector space data and the historical vector space data being the same. In this case, the illegal construction clue is an expansion on the original site.

[0094] It should be noted that, since the calculation of building attribute values ​​may contain measurement errors due to the different building data acquired at different times, a preset third area threshold is used to minimize the impact of measurement errors on the base area. In this embodiment of the invention, the third area threshold is set to 10%. In practical applications, setting the third area threshold to 3% to 10% can effectively eliminate the impact of measurement errors. Those skilled in the art can also set other values ​​for the third area threshold according to the quality of the acquired building data, without affecting the beneficial effects achieved by the present invention.

[0095] Preferably, the step of extracting clues about illegal constructions from the changed buildings according to their characteristics includes:

[0096] The illegal construction is characterized by the following features: the historical vector space shows existing buildings; the difference between the base area of ​​the current vector space data and the historical vector space data exceeds a preset fourth area threshold; and the number of layers in the current vector space data and the historical vector space data are different. In such cases, the illegal construction clues indicate demolition and reconstruction.

[0097] Preferably, the step of extracting clues about illegal constructions from the changed buildings according to their characteristics includes:

[0098] The illegal construction is characterized by the fact that the difference between the base area of ​​the current vector space data and the historical vector space data does not exceed the preset fifth area threshold, and the number of layers of the current vector space data and the historical vector space data are different. In this case, the illegal construction clue is an addition on the original site.

[0099] Furthermore, the step of extracting clues about illegal constructions from the altered buildings based on their characteristics includes:

[0100] The illegal construction is characterized in that the illegal construction clue is not a new addition to vacant land, an expansion on the original site, a demolition and reconstruction, or an addition on the original site, but the building area in the current vector space is greater than the area recorded on the certificate, then the illegal construction clue is other illegal construction.

[0101] Compared with existing technologies that detect changes in remote sensing images, this invention constructs standardized building data and compares the historical vector data with the current vector data. This allows for the identification of illegal constructions where rooftop changes are not obvious but illegal constructions actually exist. The extracted illegal construction clues are more comprehensive.

[0102] Furthermore, as a preferred implementation, the step of filtering out buildings with the clues of illegal construction from the current vector space data and verifying them based on the historical image data to obtain buildings that meet the definition of illegal construction includes:

[0103] The building to be expanded on the original site is selected from the current vector space data;

[0104] Based on the historical image data, the year in which the building first appeared in its entirety in the historical image data is taken as the year the building was constructed.

[0105] Verify whether the stated year of construction is in violation of regulations. If it is, the building is deemed to meet the definition of an illegal building; otherwise, the building is deemed not to meet the definition of an illegal building.

[0106] It should be noted that for buildings that meet the criteria of illegal construction due to expansion on the original site, there is a possibility that they are actually illegal buildings, but they may also be compliant buildings under construction. In this embodiment of the invention, further verification of the year of construction of buildings that are expanded on the original site can ensure the accuracy of the investigation of illegal construction clues and reduce the workload of manual verification.

[0107] It is understood that the step of filtering out buildings with illegal construction clues from the current vector space data and verifying them based on the historical image data to obtain buildings that meet the definition of illegal construction, including further verification of buildings expanded on the original site, is only an example. In practical applications, other illegal construction clues can also be further verified. The specific verification method for illegal construction clues does not affect the beneficial effects achieved by the present invention.

[0108] The method for investigating clues to illegal construction provided by the embodiments of the present invention can standardize building data from multiple sources and automatically investigate clues to illegal construction based on standardized historical building data and current building data. Compared with the prior art, the method can investigate more comprehensive clues to illegal construction and effectively shorten the investigation cycle.

[0109] See Figure 2 This is a schematic diagram of a device for investigating clues to illegal construction, also provided in an embodiment of the present invention. The device 10 for investigating clues to illegal construction includes a historical building data acquisition module 11, a current building data acquisition module 12, a building change type determination module 13, an illegal construction clue extraction module 14, an illegal construction verification module 15, and an illegal construction investigation result generation module 16; wherein:

[0110] The historical building data acquisition module 11 is used to acquire historical building data, which includes historical vector spatial data and historical image data of the buildings after standardization.

[0111] The current building data acquisition module 12 is used to acquire current building data, perform standardization operations on the current building data, and combine it with the historical building data to obtain the current vector space data and current image data of the building.

[0112] The building change type determination module 13 is used to compare the current vector space data and the historical vector space data to determine the change type of the building, and the change type includes existing buildings and changed buildings.

[0113] The illegal construction clue extraction module 14 is used to extract illegal construction clues from the changed buildings according to the characteristics of the illegal construction; the illegal construction clues include new construction on vacant land, expansion on the original site, demolition and reconstruction, addition on the original site and other illegal constructions;

[0114] The illegal construction verification module 15 is used to filter out buildings with illegal construction clues from the current vector space data, and verify them according to the historical image data to obtain buildings that meet the definition of illegal construction.

[0115] The illegal construction investigation result generation module 16 is used to export the current vector space data of the buildings that meet the definition of illegal construction, as the investigation result of illegal construction clues.

[0116] Preferably, the device for investigating clues to illegal construction further includes a historical building data update module, which is used to update the historical building data based on the current building data after standardized operation.

[0117] In a preferred embodiment, the step of acquiring current building data, standardizing the current building data, and combining it with historical building data to obtain the current vector spatial data and current image data of the building includes:

[0118] The spatial information of the current building data is vectorized in the same coordinate system to obtain the current vector spatial data.

[0119] Acquire remote sensing image data, convert the remote sensing image data into IMG format, and obtain image data;

[0120] Based on the image data, topological repair is performed on the vector space data to ensure that the vector space data do not overlap.

[0121] Based on the historical building data, assign values ​​to the attributes of the current vector spatial data; the attributes include the building's base area, building area, number of floors, and registered area.

[0122] As a preferred implementation, assigning attribute values ​​to the current vector spatial data in conjunction with the historical building data includes:

[0123] Calculate the polygon area of ​​the vector patch in the current vector space data, and assign the polygon area to the base area attribute of the corresponding building.

[0124] When the historical building data already contains the historical building area and historical number of floors of a building, the historical building area is assigned to the building area attribute of the current vector space data, and the historical number of floors is assigned to the number of floors attribute of the current vector space data.

[0125] By utilizing spatial relationships, the certified area in the historical building data is attached to the certified area attribute of the current building data.

[0126] Preferably, the step of comparing the current vector space data and the historical vector space data to determine the change type of the building includes existing buildings and changed buildings, including:

[0127] If the current vector space data of a building has the same number of floors as the historical vector space data, and the difference in the base area does not exceed a preset first area threshold and the difference in the building area does not exceed a preset second area threshold, then the building is determined to be an existing building.

[0128] Otherwise, the building is determined to be a modified building.

[0129] As a preferred implementation, the step of utilizing spatial relationships to attach the certified area from the historical building data to the certified area attribute of the current building data includes:

[0130] When the vector plot of the current building data falls completely within the vector plot of the historical building data, the certified area of ​​the historical building data is assigned to the certified area attribute of the current building data.

[0131] When a portion of the vector patch of the current building data falls within the vector patch of the historical building data, the area of ​​the vector patch with the largest intersecting area is assigned to the carrying area attribute of the current building data.

[0132] The illegal construction clue investigation device provided by the present invention can standardize building data from multiple sources and automatically investigate illegal construction clues based on standardized historical building data and current building data. Compared with the prior art, it can detect more comprehensive illegal construction clues and effectively shorten the investigation cycle.

[0133] Those skilled in the art will understand that all or part of the processes in the above embodiments can be implemented by a computer program instructing related hardware. The program can be stored in a computer-readable storage medium, and when executed, it can include the processes of the embodiments of the above methods. The storage medium can be a magnetic disk, optical disk, read-only memory (ROM), or random access memory (RAM), etc.

[0134] The above description represents the preferred embodiments of the present invention. It should be noted that those skilled in the art can make various improvements and modifications without departing from the principles of the present invention, and these improvements and modifications are also considered to be within the scope of protection of the present invention.

Claims

1. A method for investigating clues to illegal construction, characterized in that, include: Acquire historical building data, which includes standardized historical vector spatial data and historical image data of the buildings; Acquire current building data, perform standardization operations on the current building data, and combine it with historical building data to obtain the current vector space data and current image data of the building; By comparing the current vector space data with the historical vector space data, the change type of the building is determined, and the change type includes existing buildings and changed buildings; Based on the characteristics of illegal construction, extract clues about illegal construction in the changed buildings; the clues about illegal construction include new construction on vacant land, expansion on the original site, demolition and reconstruction, addition on the original site, and other illegal constructions. Buildings with clues of illegal construction are selected from the current vector space data, and verified based on the historical image data to obtain buildings that meet the definition of illegal construction; Export the current vector space data of the buildings that meet the definition of illegal construction, as the investigation results of clues to illegal construction; The process of acquiring current building data, standardizing the current building data, and combining it with historical building data to obtain the current vector spatial data and current image data of the building includes: The spatial information of the current building data is vectorized in the same coordinate system to obtain the current vector spatial data. Acquire remote sensing image data, convert the remote sensing image data into IMG format, and obtain image data; Based on the image data, topological repair is performed on the vector space data to ensure that the vector space data do not overlap. Based on the historical building data, assign values ​​to the attributes of the current vector spatial data; the attributes include the building's base area, building area, number of floors, and registered area. Assigning attribute values ​​to the current vector spatial data by combining the historical building data includes: Calculate the polygon area of ​​the vector patch in the current vector space data, and assign the polygon area to the base area attribute of the corresponding building. When the historical building data already contains the historical building area and historical number of floors of a building, the historical building area is assigned to the building area attribute of the current vector space data, and the historical number of floors is assigned to the number of floors attribute of the current vector space data. By utilizing spatial relationships, the certified area in the historical building data is attached to the certified area attribute of the current building data; The step of utilizing spatial relationships to attach the certified area from the historical building data to the certified area attribute of the current building data includes: When the vector plot of the current building data falls completely within the vector plot of the historical building data, the certified area of ​​the historical building data is assigned to the certified area attribute of the current building data. When a portion of the vector patch of the current building data falls within the vector patch of the historical building data, the area of ​​the vector patch with the largest intersecting area is assigned to the carrying area attribute of the current building data.

2. The method for investigating clues to illegal construction as described in claim 1, characterized in that, After exporting the current vector spatial data of the buildings that meet the definition of illegal construction as the investigation result of clues to illegal construction, the method further includes: Update the historical building data based on the current building data after standardized operations.

3. The method for investigating clues to illegal construction as described in claim 1, characterized in that, The comparison between the current vector space data and the historical vector space data determines the type of change in the building. The type of change includes existing buildings and changed buildings, including: If the current vector space data of a building has the same number of floors as the historical vector space data, and the difference in the base area does not exceed a preset first area threshold and the difference in the building area does not exceed a preset second area threshold, then the building is determined to be an existing building. Otherwise, the building is determined to be a modified building.

4. The method for investigating clues to illegal construction as described in claim 1, characterized in that, The step of extracting clues about illegal constructions from the changed buildings based on their characteristics includes: The illegal construction is characterized by the historical vector space data showing it as vacant land, while the current vector space shows an existing building, and the building area exceeds the area recorded on the certificate. In this case, the illegal construction clue is the addition of a new vacant land.

5. The method for investigating clues to illegal construction as described in claim 1, characterized in that, The step of extracting clues about illegal constructions from the changed buildings based on their characteristics includes: The illegal construction is characterized by the difference between the base area of ​​the current vector space data and the base area of ​​the historical vector space data exceeding a preset third area threshold, and the number of layers of the current vector space data and the historical vector space data being the same. In this case, the illegal construction clue is an expansion on the original site.

6. The method for investigating clues to illegal construction as described in claim 5, characterized in that, The process involves filtering out buildings with clues to illegal construction from the current vector space data, verifying them against historical image data, and obtaining buildings that meet the definition of illegal construction, including: The building to be expanded on the original site is selected from the current vector space data; Based on the historical image data, the year in which the building first appeared in its entirety in the historical image data is taken as the year the building was constructed. Verify whether the stated year of construction is in violation of regulations. If it is, the building is deemed to meet the definition of an illegal building; otherwise, the building is deemed not to meet the definition of an illegal building.

7. A device for investigating clues to illegal construction, characterized in that, include: The historical building data acquisition module is used to acquire historical building data, which includes standardized historical vector spatial data and historical image data of the buildings. The current building data acquisition module is used to acquire current building data, perform standardization operations on the current building data, and combine it with the historical building data to obtain the current vector space data and current image data of the building. The building change type determination module is used to compare the current vector space data and the historical vector space data to determine the change type of the building, which includes existing buildings and changed buildings. The illegal construction clue extraction module is used to extract illegal construction clues from the changed buildings according to the characteristics of the illegal construction; the illegal construction clues include new construction on vacant land, expansion on the original site, demolition and reconstruction, addition on the original site, and other illegal constructions; The illegal construction verification module is used to filter out buildings with illegal construction clues from the current vector space data, and verify them based on the historical image data and the current image data to obtain buildings that meet the definition of illegal construction; The illegal construction investigation result generation module is used to export the current vector space data of the buildings that meet the definition of illegal construction, as the investigation result of illegal construction clues; The process of acquiring current building data, standardizing the current building data, and combining it with historical building data to obtain the current vector spatial data and current image data of the building includes: The spatial information of the current building data is vectorized in the same coordinate system to obtain the current vector spatial data. Acquire remote sensing image data, convert the remote sensing image data into IMG format, and obtain image data; Based on the image data, topological repair is performed on the vector space data to ensure that the vector space data do not overlap. Based on the historical building data, assign values ​​to the attributes of the current vector spatial data; the attributes include the building's base area, building area, number of floors, and registered area. Assigning attribute values ​​to the current vector spatial data by combining the historical building data includes: Calculate the polygon area of ​​the vector patch in the current vector space data, and assign the polygon area to the base area attribute of the corresponding building. When the historical building data already contains the historical building area and historical number of floors of a building, the historical building area is assigned to the building area attribute of the current vector space data, and the historical number of floors is assigned to the number of floors attribute of the current vector space data. By utilizing spatial relationships, the certified area in the historical building data is attached to the certified area attribute of the current building data; The step of utilizing spatial relationships to attach the certified area from the historical building data to the certified area attribute of the current building data includes: When the vector plot of the current building data falls completely within the vector plot of the historical building data, the certified area of ​​the historical building data is assigned to the certified area attribute of the current building data. When a portion of the vector patch of the current building data falls within the vector patch of the historical building data, the area of ​​the vector patch with the largest intersecting area is assigned to the carrying area attribute of the current building data.

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