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A novel approach for endmember bundle extraction using spectral space splitting

Andreou, Charoula and Rogge, Derek and Rivard, Benoit and Müller, Rupert (2015) A novel approach for endmember bundle extraction using spectral space splitting. In: Proceedings of 7th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2015, pp. 1-4. IEEE Xplore. WHISPERS 2015, 2-5 June 2015, Tokyo, Japan.

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Official URL: http://www.ieee-whispers.com/images/techprograms/whispers_2015_technical_program.pdf

Abstract

The traditional endmember extraction methods search for a fixed set of endmembers, each one assigned to a single material. However, in many real applications, the materials of interest may present spectral variability which is related to subtle absorption features crucial for their discrimination. Thus, extracting multiple spectra or bundles for different materials is considered a more effective approach for data analysis, accounting for intra-class spectral variability. In this work, a novel approach is introduced which aims at obtaining a full representation of materials in a given scene, specifically including those with low spectral contrast. The approach enables a traditional endmember extraction method, the N-FINDR, to extract image endmember bundles exploiting the original spectral bands through a spectral space splitting. Experiments were conducted using an airborne hyperspectral dataset for extracting endmembers of mafic and ultramafic lithological units and preliminary results show the potential usefulness of the new approach.

Item URL in elib:https://elib.dlr.de/98036/
Document Type:Conference or Workshop Item (Speech)
Title:A novel approach for endmember bundle extraction using spectral space splitting
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Andreou, Charoulacharoula.andreou (at) dlr.deUNSPECIFIED
Rogge, Derekderek.rogge (at) dlr.deUNSPECIFIED
Rivard, Benoitbenoit.rivard (at) ualberta.caUNSPECIFIED
Müller, Rupertrupert.mueller (at) dlr.deUNSPECIFIED
Date:2015
Journal or Publication Title:Proceedings of 7th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2015
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Page Range:pp. 1-4
Editors:
EditorsEmail
UNSPECIFIEDIEEE Org.
Publisher:IEEE Xplore
Status:Published
Keywords:Hyperspectral imagery, endmember bundle extraction, intra-class spectral variability, lithological detection.
Event Title:WHISPERS 2015
Event Location:Tokyo, Japan
Event Type:international Conference
Event Dates:2-5 June 2015
Organizer:IEEE
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, R - Vorhaben Fernerkundung der Landoberfläche (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Photogrammetry and Image Analysis
German Remote Sensing Data Center > Land Surface
Deposited By: Andreou, Charoula
Deposited On:29 Sep 2015 16:34
Last Modified:02 Oct 2015 17:25

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