Wetland environment degradation identification processing method based on remote sensing image monitoring

CN120912910AActive Publication Date: 2025-11-07CHINESE RES ACAD OF ENVIRONMENTAL SCI

Patent Information

Application Number
CN202510904366.X
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-07-01
Publication Date
2025-11-07
Estimated Expiration
2045-07-01

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Abstract

The invention discloses a wetland environment degradation identification processing method based on remote sensing image monitoring, and the method comprises the steps: obtaining an original remote sensing image comprising multi-temporal data, carrying out the preprocessing, capturing the dynamic wetland environment change through the remote sensing image of different time nodes and different wave bands, and truly reflecting the wetland condition; performing region growth segmentation on the preprocessed remote sensing image on the basis of texture features and spectral features in combination with texture boundary transition clear values among regions in the image to obtain a local region image, and combining the texture features and the spectral features in a feature extraction result to enable subsequent image segmentation processing to consider details and an overall structure; and finally, based on the local area images, identification analysis is carried out through a pre-trained wetland degradation detection model, the type of each local area image is obtained, and an accurate data basis is provided for detection and remediation of wetland degradation.
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Citation Information

Patent Citations

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  • Wetland vegetation feature optimization and fusion method based on JM Relief F

    CN112949607A

  • Engineering rock group remote sensing classification method and system based on space and spectrum combined characteristics

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