An identification processing system based on AI technology and GIS system

Abstract

The application discloses a kind of identification processing systems based on AI technology and GIS system, including AI identification unit and GIS information data unit, AI identification unit includes image analysis module, image repair module, image partition module, image entry module;GIS information data unit includes geographic information entry module, geographic information call module, geographic information search module and geographic information sending module.User uploads the relevant geographic information image of need query to system, is marked first by AI identification unit to image, and data group is established according to the layer of image, image analysis module is analyzed to image, and is uploaded to the display end of computer by geographic information sending module, completes the search of geographic image.The identification processing system based on AI technology and GIS system, the excellent combination of AI technology and GIS system is realized, and can be widely used.

Description

Technical Field

[0001] This invention belongs to the field of geographic information system technology, and in particular relates to an identification and processing system based on AI technology and GIS system. Background Technology

[0002] GIS, or Geographic Information System, is a discipline that has developed alongside the advancements in geographic science, computer technology, remote sensing technology, and information science. In the history of computer development, the emergence of Computer-Aided Design (CAD) technology enabled people to process data such as graphics using computers. One of the hallmarks of graphic data is that graphic elements have clearly defined location coordinates, and different graphics have various topological relationships.

[0003] With the continuous development of the Internet era, people's understanding of geographic information has become increasingly convenient. As a mature system that integrates computer hardware, software, geographic data, and system administrators to efficiently acquire, store, update, operate, analyze, and display geographic information in any form, the GIS system is being used more and more frequently. If image search could be performed directly, it would effectively increase people's efficiency in understanding geographic information. However, at present, geographic information search is still in the text search stage and does not have image recognition capabilities, making it difficult for some users to directly search for geographical locations based on images. Summary of the Invention

[0004] To address the problem that existing geographic information search technologies are still limited to text search and lack image recognition capabilities, making it difficult for some users to directly search for geographic locations based on images, the present invention aims to provide a recognition and processing system based on AI technology and a GIS system. This system allows users to upload images, perform AI recognition, and directly search for the corresponding geographic location, obtaining detailed information and parameters of the location, thus better meeting users' knowledge acquisition needs.

[0005] To achieve the above objectives, the present invention adopts the following technical solution:

[0006] A recognition and processing system based on AI technology and GIS system is characterized by comprising an AI recognition unit and a GIS information data unit. The AI ​​recognition unit includes an image analysis module, an image restoration module, an image partitioning module, and an image input module. The GIS information data unit includes a geographic information input module, a geographic information retrieval module, a geographic information search module, and a geographic information sending module.

[0007] The image analysis module analyzes the geographic information images to be queried. If they meet the recognition requirements of the AI ​​recognition unit, they are uploaded. If they do not meet the requirements, the image repair module repairs the images. After image recognition, the image partitioning module distinguishes the images according to the scenes within the images and judges the images according to their proportions. The images are marked according to the scenes with the highest proportions within the images and are then uploaded by the image input module to the geographic information input module of the GIS information data unit.

[0008] The geographic information entry module compares images based on the image scene markings, and uploads the comparison information to the geographic information search module. The geographic information search module searches all image information in the geographic information database and passes all similar images that match the image scene markings to be queried to the geographic information retrieval module. The geographic information retrieval module retrieves all similar images and uploads them to the computer display by the geographic information sending module, thus completing the geographic image search.

[0009] Furthermore, the recognition and processing system of the present invention is simultaneously set up with multiple module groups that have AI-based image recognition function and GIS-based geographic information query. Users upload the relevant geographic information images that they need to query to the system, and the AI ​​recognition unit works first to mark the images and establish data groups according to the image layers.

[0010] Preferably, the image analysis module analyzes the image. If it meets the recognition requirements of the AI ​​recognition unit, it is uploaded; otherwise, image repair continues. If AI recognition fails after multiple repairs, the image is marked as unrecognizable, and the user needs to upload a higher-resolution image.

[0011] Preferably, after image recognition, the image partitioning module partitions the image into different areas according to the scene within the image. Scene partitioning includes the identification of natural conditions such as land, sea, mountains, forests, and trees. The image is also judged according to its proportion, and the image is marked according to the scene with the highest proportion within the image.

[0012] Preferably, after receiving an image, the GIS information data unit transmits the image to the geographic information entry module. The geographic information entry module compares the images based on the scene markings. The comparison information is then uploaded to the geographic information search module, which includes searching the geographic information database. All stored images in the geographic information database are marked according to scene.

[0013] Preferably, when a matching image scene marker is found, it is listed as a similar image and transmitted. After all image information in the geographic information database has been searched, all similar images are retrieved by the geographic information retrieval module and uploaded to the computer display. The information is processed by the geographic information sending module to complete the search for geographic images.

[0014] Preferably, the transmitted geographic information images are all labeled with the location information of the location where the image content is located, including specific latitude and longitude data.

[0015] The beneficial effects and advantages of this invention are as follows:

[0016] This AI-based identification and processing system, through the integration of AI recognition units and GIS information data units, allows users to upload images for AI recognition and directly search for the corresponding geographical location, obtaining detailed geographical location parameters. This simplifies user needs and better meets users' knowledge acquisition requirements. It also simplifies the way geographical information is obtained, achieving an excellent combination of AI technology and GIS systems, and can be widely promoted and used. Attached Figure Description

[0017] Figure 1 This is a system block diagram of the present invention;

[0018] Figure 2 This is a screenshot of the client interface.

[0019] Figure 3 A block diagram of the AI ​​recognition unit;

[0020] Figure 4 A block diagram showing the composition of GIS information data units. Detailed Implementation

[0021] The technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments.

[0022] A recognition and processing system based on AI technology and GIS system includes an AI recognition unit and a GIS information data unit. The AI ​​recognition unit includes an image analysis module, an image restoration module, an image partitioning module, and an image input module. The GIS information data unit includes a geographic information input module, a geographic information retrieval module, a geographic information search module, and a geographic information sending module.

[0023] The image analysis module analyzes the geographic information images to be queried. If they meet the recognition requirements of the AI ​​recognition unit, they are uploaded. If they do not meet the requirements, the image repair module repairs the images. After image recognition, the image partitioning module distinguishes the images according to the scenes within the images and judges the images according to their proportions. The images are marked according to the scenes with the highest proportions within the images and are then uploaded by the image input module to the geographic information input module of the GIS information data unit.

[0024] The geographic information entry module compares images based on the image scene markings, and uploads the comparison information to the geographic information search module. The geographic information search module searches all image information in the geographic information database and passes all similar images that match the image scene markings to be queried to the geographic information retrieval module. The geographic information retrieval module retrieves all similar images and uploads them to the computer display by the geographic information sending module, thus completing the geographic image search.

[0025] Reference Figure 1 The recognition and processing system based on AI technology and GIS system includes an AI recognition unit and a GIS information data unit. The recognition and processing system is also equipped with multiple module groups with AI image recognition function and GIS geographic information query. The AI ​​recognition unit includes an image analysis module, an image restoration module, an image partitioning module, and an image input module.

[0026] The GIS information data unit includes a geographic information input module, a geographic information retrieval module, a geographic information search module, and a geographic information sending module.

[0027] Reference Figure 1 , Figure 2 , Figure 3 , Figure 4 First, a recognition and processing system is established. This system includes multiple modules with AI-based image recognition and GIS-based geographic information query capabilities. Users upload relevant geographic information images to the system. The AI ​​recognition unit first marks the images and creates data groups based on image layers. If an image cannot be recognized, the image restoration module processes it, adding light to dark areas and removing noise. The image analysis module then analyzes the image. If it meets the AI ​​recognition unit's requirements, it is uploaded; otherwise, image restoration continues. If multiple restorations fail to achieve AI recognition, the image is marked as unrecognizable, requiring the user to upload a higher-resolution image. Once the AI ​​recognition unit recognizes the image, the image partitioning module partitions it according to the scene within the image. Scene partitioning includes the recognition of natural conditions such as land, sea, mountains, forests, etc., and the image is judged based on its proportion. The image with the highest proportion is marked and then entered into the system, which then uploads it to the GIS information data unit.

[0028] After receiving an image, the GIS information data unit transmits the image to the geographic information entry module. The geographic information entry module compares the images based on the scene markings and uploads the comparison information to the geographic information search module. The geographic information search module searches the geographic information database. All stored images in the geographic information database are marked according to scene. When a scene marking that matches the image being searched is found, it is listed as a similar image and transmitted. After all image information in the geographic information database has been searched, all similar images are retrieved by the geographic information retrieval module and uploaded to the computer display. The information is then processed by the geographic information sending module to complete the geographic image search. The transmitted geographic information images are all marked with the location information of the image content, including the specific longitude and latitude.

[0029] The above description is only a preferred embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any equivalent substitutions or modifications made by those skilled in the art within the scope of the technology disclosed in the present invention, based on the technical solution and inventive concept of the present invention, should be covered within the scope of protection of the present invention.

Claims

1. A recognition and processing system based on AI technology and GIS system, characterized in that: It includes an AI recognition unit and a GIS information data unit. The AI ​​recognition unit includes an image analysis module, an image restoration module, an image partitioning module, and an image input module. The GIS information data unit includes a geographic information input module, a geographic information retrieval module, a geographic information search module, and a geographic information sending module. The image analysis module analyzes the geographic information images to be queried. If they meet the recognition requirements of the AI ​​recognition unit, they are uploaded. If they do not meet the requirements, the image repair module repairs the images. After image recognition, the image partitioning module distinguishes the images according to the scenes within the images and judges the images according to their proportions. The images are marked according to the scenes with the highest proportions within the images and are then uploaded by the image input module to the geographic information input module of the GIS information data unit. The geographic information entry module compares images based on the image scene markings, and uploads the comparison information to the geographic information search module. The geographic information search module searches all image information in the geographic information database and passes all similar images that match the image scene markings to be queried to the geographic information retrieval module. The geographic information retrieval module retrieves all similar images and uploads them to the computer display by the geographic information sending module, thus completing the geographic image search.

2. The identification and processing system based on AI technology and GIS system according to claim 1, characterized in that, Users upload images containing relevant geographic information to the AI ​​recognition unit, which then tags the images and creates data groups based on the image layers.

3. The identification and processing system based on AI technology and GIS system according to claim 1, characterized in that, The image repair module repairs the image. If the image still fails to meet the recognition requirements of the AI ​​recognition unit after multiple repairs, it will be marked as an unrecognizable image, and the user will be required to upload a higher resolution image.

4. The identification and processing system based on AI technology and GIS system according to claim 1, characterized in that, The image partitioning module distinguishes scenes within the image, with scene partitioning divided into natural condition recognition, including land, sea, mountains, forests, and trees.

5. The identification and processing system based on AI technology and GIS system according to claim 1, characterized in that, The geographic information search module includes searching the geographic information database. All stored images in the geographic information database are marked according to scene. When a search finds an image whose scene marking matches the image to be queried, it is listed as a similar image and passed on. After searching all image information in the geographic information database, all similar images are retrieved by the geographic information retrieval module and uploaded to the computer's display.

6. The identification and processing system based on AI technology and GIS system according to claim 1, characterized in that, The geographic information images sent by the geographic information sending module are all labeled with the location information of the location where the image content is located, including specific latitude and longitude data.

Images