Hyperspectral Image Denoising Based on Tensor Group Sparse Representation

Hyperspectral Image Denoising Based on Tensor Group Sparse Representation

A novel algorithm for hyperspectral image (HSI) denoising is proposed based on tensor group sparse representation. A HSI is considering as 3 order tensor. First, a HSI is divided into small tensor blocks. Second, similar blocks are gathered into clusters, and then a tensor group sparse representatio...

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Bibliographic Details
Main Authors: WANG Zhongmei, YANG Xiaomei, GU Xingfa
Format: Article
Language:zho
Published: Surveying and Mapping Press 2017-05-01
Series:Acta Geodaetica et Cartographica Sinica
Subjects:
hyperspectral image
tensor
sparse representation
nonlocal similarity
Online Access:http://html.rhhz.net/CHXB/html/2017-5-614.htm

Internet

http://html.rhhz.net/CHXB/html/2017-5-614.htm

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