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Mining area land utilization identification method, device, equipment, medium and product

A mining area land and identification method technology, applied in the direction of neural learning methods, character and pattern recognition, image enhancement, etc., can solve problems such as the inability to identify types of mining area land with high precision, achieve enhanced important feature information, improve feature classification capabilities, and improve The effect of classification accuracy

Active Publication Date: 2022-05-27
CHINA UNIV OF MINING & TECH (BEIJING) +2
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AI Technical Summary

Problems solved by technology

[0007] The invention provides a method, device, equipment, medium and product for identifying land use in mining areas, which are used to solve the defect that the type of land use in mining areas cannot be identified with high precision in the prior art, and to improve the recognition accuracy of land use in mining areas

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  • Mining area land utilization identification method, device, equipment, medium and product
  • Mining area land utilization identification method, device, equipment, medium and product
  • Mining area land utilization identification method, device, equipment, medium and product

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Embodiment Construction

[0046] In order to make the objectives, technical solutions and advantages of the present invention clearer, the technical solutions in the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are part of the embodiments of the present invention. , not all examples. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0047] Combine below Figure 1-Figure 12 The method for identifying land use in mining areas of the present invention is described.

[0048] In order to improve the accuracy of land use classification in mining areas, the invention combines the traditional object-oriented classification method with the DenseNet network model, and is applied to the identification of land use types in mining areas. In view of the a...

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Abstract

The invention provides a mining area land utilization identification method, device, equipment, medium and product, and the method comprises the steps: carrying out the object-oriented segmentation of a to-be-identified remote sensing image through a multi-scale segmentation algorithm, obtaining image object units, and extracting the image object features of each image object; inputting the image object features into an image object feature optimization network to obtain optimized image object features output by the image object feature optimization network; the image object unit is input to a depth feature extraction network, depth features of each extracted image object output by the depth feature extraction network are obtained, and the depth feature extraction network is an improved DenseNet network; and superposing the optimized image object features and the depth features, and performing category identification to obtain a mining area land type classification result. The method is used for overcoming the defect that the mining area land type cannot be identified at high precision, and the identification precision of the mining area land type is improved.

Description

technical field [0001] The invention relates to the technical field of land utilization in mining areas, in particular to a method, device, equipment, medium and product for identifying land utilization in mining areas. Background technique [0002] Mineral resources are an important part of natural resources. The dynamic monitoring and statistics of land use types in mining areas are of great significance for the rational development of mineral resources and regional ecological environmental protection. Therefore, it is an urgent problem to achieve efficient and accurate identification of different land use types in mining areas. one. The traditional land-use identification and extraction is obtained through field surveys or manual delineation of images. With the rapid development of remote sensing technology, a large number of high-resolution remote sensing earth observation data can be obtained, so that automatic classification based on high-resolution image data can rep...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/10G06V10/40G06K9/62G06N3/04G06N3/08G06V10/764
CPCG06T7/10G06N3/08G06T2207/10032G06N3/045G06F18/241
Inventor 李军杜守航李振维张成业杨金中李炜
Owner CHINA UNIV OF MINING & TECH (BEIJING)
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