A hyperspectral image denoising method based on land cover spectral autocorrelation

Author:

Zhao Shuheng,Zhu XiaolinORCID,Liu Denghong,Xu Fei,Wang Yan,Lin Liupeng,Chen Xuehong,Yuan Qiangqiang

Funder

Hong Kong Polytechnic University

Basic and Applied Basic Research Foundation of Guangdong Province

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Computers in Earth Sciences,Earth-Surface Processes,Global and Planetary Change

Reference38 articles.

1. Hyperspectral reflectance of leaves and flowers of an outbreak species discriminates season and successional stage of vegetation;Carvalho;Int. J. Appl. Earth Obs. Geoinf.,2013

2. HSI-DeNet: Hyperspectral image restoration via convolutional neural network;Chang;IEEE Trans. Geosci. Remote Sens.,2018

3. Denoising hyperspectral image with non-iid noise structure;Chen;IEEE Trans. Cybern.,2017

4. A quantitative analysis of virtual endmembers’ increased impact on the collinearity effect in spectral unmixing;Chen;IEEE Trans. Geosci. Remote Sens.,2011

5. Nonlocal tensor-ring decomposition for hyperspectral image denoising;Chen;IEEE Trans. Geosci. Remote Sens.,2019

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