Endmember extraction from hyperspectral imagery based on QR factorisation using givens rotations-Reference-Cited by-同舟云学术

Endmember extraction from hyperspectral imagery based on QR factorisation using givens rotations

Published:2019-02 Issue:2 Volume:13 Page:332-343
ISSN:1751-9667
Container-title:IET Image Processing
language:en
Short-container-title:IET Image Processing

Author:

Gan Yuquan¹²,Hu Bingliang¹,Liu Weihua¹,Wang Shuang¹,Zhang Geng¹,Feng Xiangpeng¹,Wen Desheng¹

Affiliation:

1. Key Laboratory of Spectral Imaging Technology, Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of SciencesNo. 17, Xinxi RoadXi'anPeople's Republic of China

2. University of Chinese Academy of SciencesNo. 19, Yuquan RoadBeijingPeople's Republic of China

Funder

National Natural Science Foundation of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-ipr.2018.5079

Reference63 articles.

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2. Hyperspectral target detection via exploiting spatial‐spectral joint sparsity;Gu Y.;Neurocomputing,2015

3. Gravitation-Based Edge Detection in Hyperspectral Images

4. Effective Denoising and Classification of Hyperspectral Images Using Curvelet Transform and Singular Spectrum Analysis

5. Joint bilateral filtering and spectral similarity‐based sparse representation: a generic framework for effective feature extraction and data classification in hyperspectral imaging;Qiao T.;Pattern Recognit.,2018

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