Hyperspectral video data provide complementary contextual cues across spectral, spatial, and temporal dimensions for modeling object dynamics under challenging conditions. Many existing hyperspectral video object tracking (HVOT) approaches organize spatial-spectral and temporal modeling in successive stages, leaving ro...
Yu-Zeng Chen, Qiang-Qiang Yuan, Hong Xie et al.· IEEE Transactions on Image P...· 2 citations
Single-image superresolution (SISR) is a long-standing research topic in the low-level vision of remote sensing. Its goal is to reconstruct a corresponding high-resolution (HR) image from a low-resolution (LR) image. In recent years, SISR for remote sensing has attracted widespread attention due to its potential applic...
Fa-Nen Meng, Sen-Sen Wu, Yi Xiao et al.· IEEE Geoscience and Remote S...· 0 citations
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, Zhi-Jing Ye, Cheng-Yong Zheng et al.· IEEE Transactions on Geoscie...· 0 citations
With the rapid advancement of satellite video technology, detecting small moving objects in satellite videos has shown substantial application potential across domains such as military surveillance, traffic monitoring, and disaster management. However, achieving robust detection remains challenging due to three key fac...
Xin-Rui Qi, Si-Qian He, Wu-Zhuo Yang et al.· IEEE Transactions on Geoscie...· 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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