no code implementations • 22 Nov 2023 • Jiang He, Yajie Li, Jie L, Qiangqiang Yuan
Hyperspectral images play a crucial role in precision agriculture, environmental monitoring or ecological analysis.
1 code implementation • 30 Oct 2023 • Yi Xiao, Qiangqiang Yuan, Kui Jiang, Jiang He, Xianyu Jin, Liangpei Zhang
Recently, convolutional networks have achieved remarkable development in remote sensing image Super-Resoltuion (SR) by minimizing the regression objectives, e. g., MSE loss.
2 code implementations • 10 Apr 2023 • Yi Xiao, Qiangqiang Yuan, Kui Jiang, Xianyu Jin, Jiang He, Liangpei Zhang, Chia-Wen Lin
To explore the global dependency in the entire frame sequence, a Long-term Temporal Difference Module (L-TDM) is proposed, where the differences between forward and backward segments are incorporated and activated to guide the modulation of the temporal feature, leading to a holistic global compensation.
no code implementations • 19 Nov 2020 • Jiang He, Jie Li, Qiangqiang Yuan, Huanfeng Shen, Liangpei Zhang
Hyperspectral images are crucial for many research works.