Andreou, Charoula und Rogge, Derek und Rivard, Benoit und 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, Seiten 1-4. IEEE Xplore. WHISPERS 2015, 2015-06-02 - 2015-06-05, Tokyo, Japan. doi: 10.1109/WHISPERS.2015.8075389.
PDF
- Nur DLR-intern zugänglich
672kB |
Offizielle URL: http://www.ieee-whispers.com/images/techprograms/whispers_2015_technical_program.pdf
Kurzfassung
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.
elib-URL des Eintrags: | https://elib.dlr.de/98036/ | ||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Dokumentart: | Konferenzbeitrag (Vortrag) | ||||||||||||||||||||
Titel: | A novel approach for endmember bundle extraction using spectral space splitting | ||||||||||||||||||||
Autoren: |
| ||||||||||||||||||||
Datum: | 2015 | ||||||||||||||||||||
Erschienen in: | Proceedings of 7th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2015 | ||||||||||||||||||||
Referierte Publikation: | Ja | ||||||||||||||||||||
Open Access: | Nein | ||||||||||||||||||||
Gold Open Access: | Nein | ||||||||||||||||||||
In SCOPUS: | Nein | ||||||||||||||||||||
In ISI Web of Science: | Nein | ||||||||||||||||||||
DOI: | 10.1109/WHISPERS.2015.8075389 | ||||||||||||||||||||
Seitenbereich: | Seiten 1-4 | ||||||||||||||||||||
Herausgeber: |
| ||||||||||||||||||||
Verlag: | IEEE Xplore | ||||||||||||||||||||
Status: | veröffentlicht | ||||||||||||||||||||
Stichwörter: | Hyperspectral imagery, endmember bundle extraction, intra-class spectral variability, lithological detection. | ||||||||||||||||||||
Veranstaltungstitel: | WHISPERS 2015 | ||||||||||||||||||||
Veranstaltungsort: | Tokyo, Japan | ||||||||||||||||||||
Veranstaltungsart: | internationale Konferenz | ||||||||||||||||||||
Veranstaltungsbeginn: | 2 Juni 2015 | ||||||||||||||||||||
Veranstaltungsende: | 5 Juni 2015 | ||||||||||||||||||||
Veranstalter : | IEEE | ||||||||||||||||||||
HGF - Forschungsbereich: | Luftfahrt, Raumfahrt und Verkehr | ||||||||||||||||||||
HGF - Programm: | Raumfahrt | ||||||||||||||||||||
HGF - Programmthema: | Erdbeobachtung | ||||||||||||||||||||
DLR - Schwerpunkt: | Raumfahrt | ||||||||||||||||||||
DLR - Forschungsgebiet: | R EO - Erdbeobachtung | ||||||||||||||||||||
DLR - Teilgebiet (Projekt, Vorhaben): | R - Vorhaben hochauflösende Fernerkundungsverfahren (alt), R - Vorhaben Fernerkundung der Landoberfläche (alt) | ||||||||||||||||||||
Standort: | Oberpfaffenhofen | ||||||||||||||||||||
Institute & Einrichtungen: | Institut für Methodik der Fernerkundung > Photogrammetrie und Bildanalyse Deutsches Fernerkundungsdatenzentrum > Landoberfläche | ||||||||||||||||||||
Hinterlegt von: | Andreou, Charoula | ||||||||||||||||||||
Hinterlegt am: | 29 Sep 2015 16:34 | ||||||||||||||||||||
Letzte Änderung: | 24 Apr 2024 20:03 |
Nur für Mitarbeiter des Archivs: Kontrollseite des Eintrags