Hyperspectral image classification method based on squeeze-and-excitation networks, depthwise separable convolution and multibranch feature fusion
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Earth and Planetary Sciences
Link
https://link.springer.com/content/pdf/10.1007/s12145-023-00982-0.pdf
Reference49 articles.
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3. Ben Hamida A, Benoit A, Lambert P, Ben Amar C (2018) 3-D deep learning approach for remote sensing image classification. IEEE Trans Geosci Remote Sens 56:4420–4434. https://doi.org/10.1109/TGRS.2018.2818945
4. Chen Y, Zhang Z, Zhong L (2019) Three-Stream Convolutional Neural Network with Squeeze-and-Excitation Block for Near-Infrared Facial Expression Recognition. Electron 8:385
5. Cui B, Dong XM, Zhan Q, et al (2022) LiteDepthwiseNet: A Lightweight Network for Hyperspectral Image Classification. IEEE Trans Geosci Remote Sens 60:. https://doi.org/10.1109/TGRS.2021.3062372
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