Hyperspectral unmixing (HU) is crucial for retrieving subpixel information. However, existing deep learning (DL) methods typically rely on original spatial–spectral information and struggle to fuse the complementary advantages of multidomain features, resulting in endmember confusion and inaccurate abundance estimation...
Xiao-Cong Wu, Le Sun, Guo-Qing Zhang et al.· IEEE Transactions on Geoscie...· 0 citations
Hyperspectral image plays an indispensable role in the field of change detection, yet its application still faces numerous challenges. On one hand, traditional attention mechanisms are often constructed based on local information, making them prone to overlooking long-range contextual relationships hidden within global...
Bingcheng Shi, Jiajun Qiao, Qiaolin Ye et al.· IEEE Journal of Selected Top...· 0 citations
MFRA-YOLOv11, an enhanced YOLOv11s-based network for remote sensing small object detection under the horizontal bounding box paradigm, which integrates multiscale feature extraction and object region awareness to improve detection accuracy.
Wei Huang, Qiang Zhou, Lu Gao et al.· Remote Sensing· 0 citations
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