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A spatial-spectral approach to deriving eigenvectors for remote sensing image transformations

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

Full text not available from this repository.

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/
Document Type:Conference or Workshop Item (Speech)
Title:A spatial-spectral approach to deriving eigenvectors for remote sensing image transformations
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Rogge, Derekderek.rogge (at) dlr.deUNSPECIFIED
Bachmann, Martinmartin.bachmann (at) dlr.deUNSPECIFIED
Rivard, Benoitbenoit.rivard (at) ualberta.caUNSPECIFIED
Feng, Jilujfeng (at) ualberta.caUNSPECIFIED
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 - Erdbeobachtung
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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