Fast implementation of two-dimensional singular spectrum analysis for effective data classification in hyperspectral imaging-Reference-Cited by-同舟云学术

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Fast implementation of two-dimensional singular spectrum analysis for effective data classification in hyperspectral imaging

Published:2018-03 Issue:4 Volume:355 Page:1733-1751
ISSN:0016-0032
Container-title:Journal of the Franklin Institute
language:en
Short-container-title:Journal of the Franklin Institute

Author:

Zabalza Jaime,Qing Chunmei,Yuen Peter,Sun Genyun,Zhao Huimin,Ren Jinchang

Funder

National Natural Science Foundation of China

Guangdong Provincial Application-oriented Technical Research and Development Special Fund Project

Education Department of Guangdong Province

Natural Science Foundation of Guangdong Province

Publisher

Elsevier BV

Subject

Applied Mathematics,Computer Networks and Communications,Signal Processing,Control and Systems Engineering

Reference28 articles.

1. Singular spectrum analysis for improving hyperspectral imaging based beef eating quality evaluation;Qiao;Comput. Electron. Agric.,2015

2. Effective classification of Chinese tea samples in hyperspectral imaging;Kelman;Artif. Intell. Res.,2013

3. Medical hyperspectral imaging: a review;Lu;J. Biomed. Opt.,2014

4. What's wrong with murals at Mogao Grottoes: a near-infrared hyperspectral image method;Sun;Sci. Rep.,2015

5. Effective feature extraction and data reduction with hyperspectral imaging in remote sensing;Ren;IEEE Signal Process. Mag.,2014

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