Title :
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
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;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
Conference_Location :
Melbourne, VIC
Print_ISBN :
978-1-4799-1114-1
DOI :
10.1109/IGARSS.2013.6723243
