Hyperspectral image classification (HSIC) is a fundamental task in remote sensing scene understanding. However, existing methods still face the following three challenges: a balance between local edge details and long-range spatial dependencies, weak discriminative spectral dependency modeling, and a lack of adaptabili...
Yin-Ping Gao, Jia-Xin Li, Yong Wu et al.· IEEE Geoscience and Remote S...· 0 citations
Detecting small targets in remote sensing imagery remains a critical challenge due to the inherent limitations of low-resolution targets and the frequent clustering of small targets. To address these challenges, we propose an integrated set of improvements to the You Only Look Once (YOLO)v8 framework, leveraging cross-...
Chun-Zhi Li, Sheng-Yan Su, Xiao-Hua Chen et al.· IEEE Transactions on Geoscie...· 0 citations
Hyperspectral image change detection (CD) has garnered significant attention in the field of remote sensing. A critical task within CD is anomaly CD. Current generative anomaly CD methods, such as diffusion models, typically rely on computationally expensive iterative sampling to extract features, severely limiting the...
Xing Hu, Xiang-Cheng Liu, Chen-Xi Guo et al.· IEEE Journal of Selected Top...· 0 citations
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