Simultaneous spatial and spectral low-rank representation of hyperspectral images for classification

Arising from various environmental and atmos- pheric conditions and sensor interference, spectral variations are inevitable during hyperspectral remote sensing, which degrade the subsequent hyperspectral image analysis significantly. In this paper, we propose simultaneous spatial and spectral low-ra...

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Main Authors: Mei, Shaohui, Hou, Junhui, Chen, Jie, Chau, Lap-Pui, Du, Qian
其他作者: School of Electrical and Electronic Engineering
格式: Article
語言:English
出版: 2020
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在線閱讀:https://hdl.handle.net/10356/142234
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