SRMF is a segmentation framework for UHR satellite images that adds scale-anchored cropping, SAM-HQ based tail-class resampling, and GeoRSCLIP text feature injection, reporting mIoU gains of 3.33, 0.66, and 0.98 on URUR, GID, and FBP.
Using artificial intelligence and data fusion for environmental monitoring: A review and future perspectives,
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SRMF: A Data Augmentation and Multimodal Fusion Approach for Long-Tail UHR Satellite Image Segmentation
SRMF is a segmentation framework for UHR satellite images that adds scale-anchored cropping, SAM-HQ based tail-class resampling, and GeoRSCLIP text feature injection, reporting mIoU gains of 3.33, 0.66, and 0.98 on URUR, GID, and FBP.