Hyperspectral Image Classification Based on Unsupervised Regularization
Due to the powerful feature expression ability of deep learning and its end-to-end nonlinear mapping relationship, deep-learning-based methods have become the mainstream method for hyperspectral image (HSI) classification tasks. However, the accuracy of deep learning methods greatly depends on the u...
Main Authors: | , , , , , |
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Format: | Article |
Language: | English |
Published: |
IEEE
2023-01-01
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Series: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10035838/ |