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On the use of overcomplete dictionaries for spectral unmixing

Bieniarz, Jakub and Müller, Rupert and Zhu, Xiaoxiang and Reinartz, Peter (2012) On the use of overcomplete dictionaries for spectral unmixing. IEEE Xplore. WHISPERS 2012, 04-07 June 2012, Shanghai, China.



Hyperspectral unmixing is a sub pixel classification method which aims at recovering fraction and type of materials mixed in a single pixel. This work addresses the unmixing problem from the compressive sensing point of view by using overcomplete dictionaries enabling automation of the process. However, overcomplete dictionaries of spectra are highly coherent which might confuse the final unmixing result. To deal with this problem we propose the use of differentiated spectra for coherence reduction. In this paper we study the approximation error for the proposed method as well as the correctness of the material detection.

Item URL in elib:https://elib.dlr.de/76959/
Document Type:Conference or Workshop Item (Speech, Paper)
Title:On the use of overcomplete dictionaries for spectral unmixing
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Bieniarz, Jakubjakub.bieniarz (at) dlr.deUNSPECIFIED
Müller, Rupertrupert.mueller (at) dlr.deUNSPECIFIED
Zhu, Xiaoxiangxiao.zhu (at) dlr.deUNSPECIFIED
Reinartz, PeterPeter.Reinartz (at) dlr.deUNSPECIFIED
Date:4 June 2012
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:No
Page Range:pp. 1-4
Publisher:IEEE Xplore
Keywords:Hyperspectral image, unmixing, sparse approximation, derivative, coherence.
Event Title:WHISPERS 2012
Event Location:Shanghai, China
Event Type:international Conference, Workshop
Event Dates:04-07 June 2012
Organizer:IEEE GRSS
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
Deposited By: Bieniarz, Jakub
Deposited On:03 Sep 2012 08:37
Last Modified:31 Jul 2019 19:37

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