Recent advances in hyperspectral image processing-Reference-Cited by-同舟云学术

Recent advances in hyperspectral image processing

Published:2012-09 Issue:3 Volume:15 Page:143-156
ISSN:1009-5020
Container-title:Geo-spatial Information Science
language:en
Short-container-title:Geo-spatial Information Science

Author:

ZHANG Liangpei¹,DU Bo²

Affiliation:

1. a State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing , Wuhan University , 129 Luoyu Road, Wuhan , 430079 , China

2. b School of Computer Science, Wuhan University , 129 Luoyu Road, Wuhan , 430079 , China

Publisher

Informa UK Limited

Subject

Computers in Earth Sciences,Geography, Planning and Development

Link

https://www.tandfonline.com/doi/pdf/10.1080/10095020.2012.719684

Reference109 articles.

1. Landgrebe, D.A.Signal Theory Methods in Multispectral Remote Sensing; Wiley-Interscience: New York, NY, 2003.

2. Fully constrained least squares linear spectral mixture analysis method for material quantification in hyperspectral imagery

3. Spectral unmixing

4. Broadwater, J.; Chellappa, R.; Banerjee, A.; Burlina, P. Kernel Fully Constrained Least Squares Abundance Estimates.Geoscience and Remote Sensing, Symposium, IGARSS; IEEE: Barcelona, 2007; pp. 4041–4044.

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