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Exploiting Discriminative Advantage of Spectrum for Hyperspectral Image Classification: SpectralFormer Enhanced by Spectrum Motion Feature

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SF-ESMF

Y. Sun, B. Liu, X. Yu, A. Yu, P. Zhang and Z. Xue, "Exploiting Discriminative Advantage of Spectrum for Hyperspectral Image Classification: SpectralFormer Enhanced by Spectrum Motion Feature," in IEEE Geoscience and Remote Sensing Letters, vol. 20, pp. 1-5, 2023, Art no. 5500805, doi: 10.1109/LGRS.2022.3228531.

Requirements

imageio matplotlib scikit-image easydict torch==1.1.0 torchvision==0.3.0 path.py opencv-python>=3.0,<4.0 fast_slic tensorboardX getopt math numpy sys scipy tqdm sklearn time datetime

Usage

We provide a demo of the Indian Pines hyperspectral data. Please note that due to the randomness of the parameter initialization, the experimental results might have slightly different from those reported in the paper. Please refer to the paper for more details.

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Exploiting Discriminative Advantage of Spectrum for Hyperspectral Image Classification: SpectralFormer Enhanced by Spectrum Motion Feature

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