Multisource remote sensing image classification has attracted increasing attention due to the complementary spectral, structural, and geometric information. However, existing methods still suffer from two limitations: insufficient semantic contextual modeling and unreliable feature fusion caused by slight spatial misal...
Yu-Wei Zhao, Chuan-Zheng Gong, Bao-Gui Huan et al.· IEEE Geoscience and Remote S...· 0 citations
FM-ReID is proposed, an end-to-end framework that formulates local representation learning as selective competitive token routing as an effective way to augment holistic foundation-model representations, supporting competitive token routing as an effective way to augment holistic foundation-model representations.
Zhi-Qiang Li, Xiao-Wei Zhou, Ze-Yuan Sun et al.· 0 citations
A dual-branch state-displacement network (DBSD-Net) for SST super-resolution is proposed, which introduces a structural state space module with a gated structure refinement unit to efficiently capture long-range dependencies and enhance structural integrity.
Wan-Kun Chen, Feng Gao, Yan-Hai Gan et al.· IEEE Journal of Selected Top...· 0 citations
Frequency and Edge-guided SAM (FE-SAM) is proposed, a scalable and efficient framework for RSISS that adaptively decomposes and modulates frequency-domain features based on the input data and designs EGRefiner, which integrates multi-scale edge-enhanced information extracted from the input image.
Feng Gao, Zi-Zhe Pan, Hao-Ting Wang et al.· IEEE Transactions on Geoscie...· 0 citations
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