Rogge, Derek and Bachmann, Martin and Rivard, Benoit and Feng, Jilu (2012) A spatial-spectral approach to deriving eigenvectors for remote sensing image transformations. IEEE. IGARSS 2012, 22-27 July 2012, Munich, Germany. ISBN 978-1-4673-1160-1. ISSN 2153-6996.
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Abstract
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.
Item URL in elib: | https://elib.dlr.de/81704/ | |||||||||||||||
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Document Type: | Conference or Workshop Item (Speech) | |||||||||||||||
Title: | A spatial-spectral approach to deriving eigenvectors for remote sensing image transformations | |||||||||||||||
Authors: |
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Date: | 2012 | |||||||||||||||
Refereed publication: | No | |||||||||||||||
Open Access: | No | |||||||||||||||
Gold Open Access: | No | |||||||||||||||
In SCOPUS: | No | |||||||||||||||
In ISI Web of Science: | No | |||||||||||||||
Number of Pages: | 4 | |||||||||||||||
Publisher: | IEEE | |||||||||||||||
ISSN: | 2153-6996 | |||||||||||||||
ISBN: | 978-1-4673-1160-1 | |||||||||||||||
Status: | Published | |||||||||||||||
Keywords: | Eigenvectors, SVD, spatial-spectral | |||||||||||||||
Event Title: | IGARSS 2012 | |||||||||||||||
Event Location: | Munich, Germany | |||||||||||||||
Event Type: | international Conference | |||||||||||||||
Event Dates: | 22-27 July 2012 | |||||||||||||||
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 Fernerkundung der Landoberfläche (old) | |||||||||||||||
Location: | Oberpfaffenhofen | |||||||||||||||
Institutes and Institutions: | German Remote Sensing Data Center > Land Surface | |||||||||||||||
Deposited By: | Rogge, Derek | |||||||||||||||
Deposited On: | 22 Sep 2015 12:49 | |||||||||||||||
Last Modified: | 22 Sep 2015 12:49 |
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