Methods based on deep learning have achieved remarkable success in hyperspectral image change detection (HSI-CD). However, the high dependence on massive labeled data and the computational complexity of state-of-the-art models pose significant challenges, particularly in scenarios with extreme label scarcity. To addres...
Zhi-Yuan Zhang, Zhijing Ye, Cheng-Yong Zheng et al.· IEEE Transactions on Geoscie...· 0 citations
With advances in aerial technology, remote-sensing object interpretation has found ubiquitous applications across diverse domains. Owing to atmospheric interference, haze severely degrades the quality of optical remote sensing images—an effect that is particularly pronounced over water, where evaporative moisture frequ...
Yi Yang, Yu-Zhang Wan, Jie Li et al.· IEEE Signal Processing Lette...· 0 citations
A temporally guided self-supervised network (TGSD-Net), which generates pseudo training pairs from consecutive noisy observations and leverages a change detection–based prior to exploit temporal redundancy and enhance robustness to land-cover changes.
Shaowei Shi, Liu-Peng Lin, Jie Li et al.· ISPRS Annals of the Photogra...· 0 citations
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