IEEE - Institute of Electrical and Electronics Engineers, Inc. - A sparse reduced-rank regression approach for hyperspectral image unmixing

2015 3rd International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing (CoSeRa)

Author(s): Paris V. Giampouras ; Athanasios A. Rontogiannis ; Konstantinos D. Koutroumbas ; Konstantinos E. Themelis
Publisher: IEEE - Institute of Electrical and Electronics Engineers, Inc.
Publication Date: 1 June 2015
Conference Location: Pisa, Italy
Conference Date: 17 June 2015
Page(s): 139 - 143
ISBN (Electronic): 978-1-4799-7420-7
ISBN (USB): 978-1-4673-7878-9
DOI: 10.1109/CoSeRa.2015.7330280
Regular:

In this paper we propose a semi-supervised method for hyperspectral image unmixing. Given a set of endmembers present in the image, we assume that (a) each pixel is composed of a subset of the... View More

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