一种多时相遥感影像生态地表变化图斑提取方法及装置
By employing a multi-dimensional feature extraction and regular fishing net patch construction method, the problems of unstable accuracy and lack of standardization in traditional remote sensing change detection are solved. This method achieves high-precision ecological surface change patch extraction, improving detection robustness and patch boundary stability.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- MINISTRY OF ECOLOGY & ENVIRONMENT CENT FOR SATELLITE APPL ON ECOLOGY ENVIRONMENT
- Filing Date
- 2025-07-25
- Publication Date
- 2026-07-17
AI Technical Summary
Traditional remote sensing change detection methods suffer from problems such as unstable change detection accuracy, lack of spatial structure representation ability, strong subjectivity in change judgment, and lack of standardization in patch extraction, making it difficult to accurately extract ecological surface change patches from multi-temporal remote sensing images.
A multi-temporal remote sensing image ecological surface change patch extraction method is adopted. Through multi-dimensional feature extraction, land cover classification model, change intensity modeling, and regular fishing net patch construction, combined with optical image and SAR image features, high-precision classified change labeled vector fishing net data is generated for patch identification.
It improves the robustness and accuracy of change detection, ensures the stability and connectivity of patch boundaries, enhances the response to changes in land features, and achieves high-precision extraction of ecological surface change patches.
Smart Images
Figure CN120953797B_ABST