A multi-channel satellite cloud image convection initial segmentation method based on a segmentation-all model
By improving the SAM2 model for segmenting everything, a multi-channel satellite cloud image convection initiation segmentation method is constructed, which solves the problems of accuracy and reliability in detecting convection initiation targets in satellite cloud images, and realizes efficient convection initiation region segmentation and early warning.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-04-24
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies are insufficient to effectively detect nascent convective targets at extremely small scales in satellite cloud images, and traditional methods are prone to misjudgment in complex cloud backgrounds. Furthermore, the lack of specificity in multispectral information fusion leads to insufficient detection accuracy and reliability.
Based on the SAM2 model for segmenting everything, a multi-channel satellite cloud image convection initial segmentation method is constructed. By using a spectral grouping cross-attention module, a physical perception adaptation module, and a high-resolution feature connection module, combined with end-to-end training and a combined loss function, the segmentation boundary is optimized and the sample imbalance problem is alleviated.
It significantly improves the detection accuracy and computational efficiency of the initial convection region, provides reliable technical support for early warning of severe convective weather, reduces the false alarm rate, and improves the accuracy of detection.
Smart Images
Figure CN122415648A_ABST