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Sparse Pixel-wise spectral Unmixing - which Algorithm to use and how to improve the Results

Bieniarz, Jakub and Zhu, Xiao Xiang and Müller, Rupert and Reinartz, Peter (2015) Sparse Pixel-wise spectral Unmixing - which Algorithm to use and how to improve the Results. In: Proceedings of IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2015, pp. 2860-2863. IEEE Xplore. IGARSS 2015, 26.-31 Juli 2015, Mailand, Italien. DOI: 10.1109/IGARSS.2015.7326411

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Official URL: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7326411

Abstract

Recently, many sparse approximation methods have been applied to solve spectral unmixing problems. These methods in contrast to traditional methods for spectral unmixing are designed to work with large a-prori given spectral dictionaries containing hundreds of labelled material spectra enabling to skip the expensive endmember extraction and labelling step. However, it has been shown that sparse approximation methods sometimes have problems with selection of correct spectra from the dictionary when these are similar. In this paper we study the detection and approximation accuracy of different sparse approximation methods as well as the influence of the proposed modifications.

Item URL in elib:https://elib.dlr.de/96160/
Document Type:Conference or Workshop Item (Speech)
Title:Sparse Pixel-wise spectral Unmixing - which Algorithm to use and how to improve the Results
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Bieniarz, Jakubjakub.bieniarz (at) dlr.deUNSPECIFIED
Zhu, Xiao XiangDLR-IMF/TUM-LMFUNSPECIFIED
Müller, Rupertrupert.mueller (at) dlr.deUNSPECIFIED
Reinartz, Peterpeter.reinartz (at) dlr.deUNSPECIFIED
Date:July 2015
Journal or Publication Title:Proceedings of IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2015
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
DOI :10.1109/IGARSS.2015.7326411
Page Range:pp. 2860-2863
Editors:
EditorsEmail
UNSPECIFIEDIEEE Org.
Publisher:IEEE Xplore
Status:Published
Keywords:sparse unmixing, spectral unmixing, hyperspectral
Event Title:IGARSS 2015
Event Location:Mailand, Italien
Event Type:international Conference
Event Dates:26.-31 Juli 2015
Organizer:IEEE Org.
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 May 2015 13:05
Last Modified:31 Jul 2019 19:52

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