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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Bibliographic Details
Main Authors: Mei, Shaohui, Hou, Junhui, Chen, Jie, Chau, Lap-Pui, Du, Qian
Other Authors: School of Electrical and Electronic Engineering
Format: Article
Language:English
Published: 2020
Subjects:
Online Access:https://hdl.handle.net/10356/142234
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Institution: Nanyang Technological University
Language: English