Simultaneous Band-weighting and Spectral Unmixing for Multiple Endmember Sets

Author

Khopkar, Piyush ; Zare, Alina

Author_Institution

Dept. of Electr. & Comput. Eng., Univ. of Missouri, Columbia, MO, USA

fYear

2013

fDate

21-26 July 2013

Firstpage

2164

Lastpage

2167

Abstract

In this paper, the SimUltaneous Band-weighting and Spectral Unmixing for Multiple Endmember Sets (SUBSUME) which performs endmember extraction for multiple sets of endmembers, estimates proportion values, and assigns partition-specific band weights is presented. By incorporating simultaneous band weighting, input hyperspectral data is partitioned while focusing on spectral information from the wavelengths that provide the smallest error. Results are shown on two measured hyperspectral images.

Keywords

geophysical image processing; hyperspectral imaging; SUBSUME; hyperspectral imaging; input hyperspectral data; partition-specific band weight; proportion value estimation; simultaneous band-weighting and spectral unmixing for multiple endmember set; spectral information; Clustering algorithms; Educational institutions; Equations; Hyperspectral imaging; Linear programming; Materials; Partitioning algorithms; Clustering; band weighting; endmember; hyperspectral; piecewise convex; unmixing;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International

Conference_Location

Melbourne, VIC

ISSN

2153-6996

Print_ISBN

978-1-4799-1114-1

Type

conf

DOI

10.1109/IGARSS.2013.6723243

Filename

6723243