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.
Glh-water: A large-scale dataset for global surface water detection in large-size very-high-resolution satellite imagery,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
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.