Multiple-Feature Latent Space Learning-Based Hyperspectral Image Classification

IEEE Geoscience and Remote Sensing Letters(2021)

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摘要
Considering that multiple features can improve the classification performance as they contain diversity information of images, a multiple-feature latent space learning-based method is proposed for hyperspectral image (HSI) classification in this letter. In the proposed method, a latent space that contains diversity information of multiple features and transformation matrices between the latent spa...
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关键词
Feature extraction,Training,Hyperspectral imaging,Learning systems,Computational complexity,Electronic mail
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