Plateau complex climate environment under airborne millimeter wave sar disaster identification system and method
By combining airborne millimeter-wave SAR system with plateau meteorological parameters and DEM data for signal and terrain correction, a multi-dimensional coupled feature set is constructed. Using a lightweight deep learning network, the problems of low imaging accuracy and insufficient identification accuracy in plateau disaster identification are solved, and efficient and intelligent disaster identification and change detection are achieved.
Patent Information
- Application Number
- CN202610289480.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2026-03-11
- Publication Date
- 2026-05-19
- Estimated Expiration
- 2046-03-11
AI Technical Summary
Existing disaster identification technologies suffer from low imaging accuracy and insufficient identification accuracy in the complex climate environment of plateaus. Optical remote sensing has blind spots, spaceborne SAR has long revisit cycles and limited spatial resolution, millimeter-wave SAR signals are easily affected by weather, and traditional algorithms lack adaptability and have low automation levels, making it difficult to meet the needs of rapid response and fine observation of plateau disasters.
An airborne millimeter-wave SAR system was used, combined with plateau meteorological parameters and digital elevation model (DEM) data, to perform signal correction and terrain correction, construct a multi-dimensional coupled feature set of scattering-texture-terrain, and use a lightweight deep learning network for disaster identification, dynamically adjusting the weight of the loss function to adapt to the complex terrain of the plateau.
It improves imaging accuracy and disaster identification accuracy in complex plateau environments, realizes efficient and intelligent disaster area identification and change detection, and adapts to real-time response under complex plateau climate conditions.