DocumentCode :
3059854
Title :
Smooth spectral unmixing using total variation regularization and a first order roughness penalty
Author :
Sigurdsson, Jakob ; Ulfarsson, Magnus Orn ; Sveinsson, Johannes R. ; Benediktsson, Jon Atli
Author_Institution :
Dept. of Electr. Eng., Univ. of Iceland, Reykjavik, Iceland
fYear :
2013
fDate :
21-26 July 2013
Firstpage :
2160
Lastpage :
2163
Abstract :
Hyperspectral unmixing is the task of decomposing hyperspectral images into endmembers and their abundances. The endmembers are spectral signatures of specific material in the image and the abundances dictate the amount of the material found in each pixel. In this paper we present a blind signal separation method, based on the total variation penalty, that simultaneously estimates the endmembers and the abundances. We evaluate our method using both simulated and a real data set.
Keywords :
blind source separation; digital signatures; geophysical image processing; hyperspectral imaging; variational techniques; abundances; blind signal separation method; endmembers; hyperspectral image decomposition; hyperspectral unmixing algorithm; roughness penalty; smooth spectral unmixing; spectral signatures; total variation penalty; total variation regularization; Algorithm design and analysis; Hyperspectral imaging; Materials; Noise; Sensors; TV; Spectral unmixing; blind signal separation; cyclic descent; linear unmixing; majorization-minimization; roughness penalty; total variation;
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.2013.6723242
Filename :
6723242
Link To Document :
بازگشت