Rogge, Derek und Bachmann, Martin und Rivard, Benoit und Feng, Jilu (2012) A spatial-spectral approach to deriving eigenvectors for remote sensing image transformations. In: International Geoscience and Remote Sensing Symposium (IGARSS). IEEE. IGARSS 2012, 2012-07-22 - 2012-07-27, Munich, Germany. doi: 10.1109/igarss.2012.6352503. ISBN 978-1-4673-1160-1. ISSN 2153-6996.
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Kurzfassung
Spectral decorrelation methods are commonly used in remote sensing to derive eigenvectors that best represent the spectrally distinct materials of a given scene. Separating eigenvectors related to signal as opposed to noise is a difficult task, particularly as image data increases in size. In this paper a novel spatial-spectral approach to eigenvector derivation is presented that can speed up processing, be applied to very large or mutiple image data sets, derive eigenvectors that represent the spectral diversity of the data, and also improve the separation of those eigenvectors representing signal as opposed to noise. These advantages are demonstrated using the well known AVIRIS Cuprite imagery.
elib-URL des Eintrags: | https://elib.dlr.de/81704/ | ||||||||||||||||||||
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Dokumentart: | Konferenzbeitrag (Vortrag) | ||||||||||||||||||||
Titel: | A spatial-spectral approach to deriving eigenvectors for remote sensing image transformations | ||||||||||||||||||||
Autoren: |
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Datum: | 2012 | ||||||||||||||||||||
Erschienen in: | International Geoscience and Remote Sensing Symposium (IGARSS) | ||||||||||||||||||||
Referierte Publikation: | Nein | ||||||||||||||||||||
Open Access: | Nein | ||||||||||||||||||||
Gold Open Access: | Nein | ||||||||||||||||||||
In SCOPUS: | Ja | ||||||||||||||||||||
In ISI Web of Science: | Nein | ||||||||||||||||||||
DOI: | 10.1109/igarss.2012.6352503 | ||||||||||||||||||||
Seitenanzahl: | 4 | ||||||||||||||||||||
Verlag: | IEEE | ||||||||||||||||||||
ISSN: | 2153-6996 | ||||||||||||||||||||
ISBN: | 978-1-4673-1160-1 | ||||||||||||||||||||
Status: | veröffentlicht | ||||||||||||||||||||
Stichwörter: | Eigenvectors, SVD, spatial-spectral | ||||||||||||||||||||
Veranstaltungstitel: | IGARSS 2012 | ||||||||||||||||||||
Veranstaltungsort: | Munich, Germany | ||||||||||||||||||||
Veranstaltungsart: | internationale Konferenz | ||||||||||||||||||||
Veranstaltungsbeginn: | 22 Juli 2012 | ||||||||||||||||||||
Veranstaltungsende: | 27 Juli 2012 | ||||||||||||||||||||
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 Fernerkundung der Landoberfläche (alt) | ||||||||||||||||||||
Standort: | Oberpfaffenhofen | ||||||||||||||||||||
Institute & Einrichtungen: | Deutsches Fernerkundungsdatenzentrum > Landoberfläche | ||||||||||||||||||||
Hinterlegt von: | Rogge, Derek | ||||||||||||||||||||
Hinterlegt am: | 22 Sep 2015 12:49 | ||||||||||||||||||||
Letzte Änderung: | 24 Apr 2024 19:48 |
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