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Sparse spectral unmixing with endmember groups pre-selection

Bieniarz, Jakub and Zhu, Xiao Xiang and Müller, Rupert and Reinartz, Peter (2013) Sparse spectral unmixing with endmember groups pre-selection. WHISPERS 2013, 25-28 Jun. 2013, Gainesville, FL, USA.

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Sparse hyperspectral unmixing is a relatively new method for automatic endmember detection and abundance estimation using large overcomplete dictionaries. This method suffers from the mutual similarity of the endmembers in the hyperspectral dictionary which has a significant impact on the stability and accuracy of the unmixing result. In this work we introduce a new sparse unmixing algorithm with endmember groups pre- selection. Firstly, the library is clustered into groups with similar endmembers. Secondly, relevant groups are identified based on a preliminary sparse unmixing. Finally the abundance vector is calculated using the dictionary containing selected clusters. We assess our algorithm by comparing to standard sparse unmixing method using both simulated data and real hyperspectral HyMAP imagery.

Item URL in elib:https://elib.dlr.de/86122/
Document Type:Conference or Workshop Item (Speech)
Title:Sparse spectral unmixing with endmember groups pre-selection
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Bieniarz, Jakubjakub.bieniarz (at) dlr.deUNSPECIFIED
Zhu, Xiao Xiangxiao.zhu (at) dlr.deUNSPECIFIED
Müller, Rupertrupert.mueller (at) dlr.deUNSPECIFIED
Reinartz, PeterPeter.Reinartz (at) dlr.deUNSPECIFIED
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In ISI Web of Science:No
Page Range:pp. 1-4
Keywords:Hyperspectral unmixing, sparse approximation, compressive sensing, dictionary clustering.
Event Title:WHISPERS 2013
Event Location:Gainesville, FL, USA
Event Type:international Conference
Event Dates:25-28 Jun. 2013
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Vorhaben hochauflösende Fernerkundungsverfahren
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Photogrammetry and Image Analysis
Remote Sensing Technology Institute > SAR Signal Processing
Deposited By: Bieniarz, Jakub
Deposited On:06 Dec 2013 10:33
Last Modified:08 May 2014 23:30

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