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. doi: 10.1109/WHISPERS.2015.8075389.
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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/ | ||||||||||||||||||||
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Document Type: | Conference or Workshop Item (Speech) | ||||||||||||||||||||
Title: | A novel approach for endmember bundle extraction using spectral space splitting | ||||||||||||||||||||
Authors: |
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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 | ||||||||||||||||||||
DOI: | 10.1109/WHISPERS.2015.8075389 | ||||||||||||||||||||
Page Range: | pp. 1-4 | ||||||||||||||||||||
Editors: |
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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 - Earth Observation | ||||||||||||||||||||
DLR - Research theme (Project): | R - Vorhaben hochauflösende Fernerkundungsverfahren (old), 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: | 24 Jul 2023 08:40 |
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