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Autor(en):
Bieniarz, Jakub; Aguilera, Esteban; Zhu, Xiao Xiang; Müller, Rupert; Reinartz, Peter 
Titel:
Joint Sparsity Model for Multilook Hyperspectral Image Unmixing 
Abstract:
Recent work on hyperspectral image (HSI) unmixing has addressed the use of overcomplete dictionaries by employing sparse models. In essence, this approach exploits the fact that HSI pixels can be associated with a small number of constituent pure materials. However, unlike traditional least-squares-based methods, sparsity-based techniques do not require a preselection of endmembers and are thus able to simultaneously estimate the underlying active materials along with their respective abundances...    »
 
Stichworte:
Dictionaries, hyperspectral imaging, Joints, Joint Sparsity, Materials, overcomplete spectral dictionary, Signal to noise ratio, spectral unmixing, Vectors, peer_review 
Zeitschriftentitel:
IEEE Geoscience and Remote Sensing Letters 
Jahr:
2014 
Band / Volume:
12 
Heft / Issue:
Seitenangaben Beitrag:
696--700 
Print-ISSN:
1545-598X 
Hinweise:
00000