A physical basis-based remote sensing image feature optimization method and device
By introducing a remote sensing image feature optimization method based on physical field modeling and physical basis decomposition, the problem of insufficient expression of spatial structural attributes and multi-scale feature relationships in remote sensing images is solved, improving the distinguishability and interpretability of features, and enhancing the robustness and adaptability of remote sensing image processing.
CN122116160APending Publication Date: 2026-05-29HOHAI UNIV
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- HOHAI UNIV
- Filing Date
- 2026-01-08
- Publication Date
- 2026-05-29
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Figure CN122116160A_ABST
Abstract
The application discloses a kind of remote sensing image feature optimization method and device based on physical base, belong to remote sensing image processing technical field.The method is first obtained the deep feature representation of remote sensing image;Subsequently, deep feature mapping is constructed as feature physical field representation;Again, a set of physical base functions for describing different spatial structure characteristics is constructed, and the feature physical field representation is mapped and projected to different physical base spaces, realizing feature decomposition based on physical base;Then, according to the spatial context information of feature, each physical base feature component is adaptively modulated, and the modulated feature component is dynamically reconstructed and fused to generate enhanced feature representation.The application realizes effective optimization of remote sensing image feature representation by introducing physical base constraint and dynamic modulation mechanism, can enhance the representation ability of multi-scale structure, complex boundary and detail information, and has good universality and scalability.
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