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Restoration of EnMAP Data through Sparse Reconstruction

Cerra, Daniele and Bieniarz, Jakub and Storch, Tobias and Müller, Rupert and Reinartz, Peter (2015) Restoration of EnMAP Data through Sparse Reconstruction. 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. Juni 2015, Tokyo, Japan.

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This paper presents the first results of applying sparse reconstruction methods to restore a simulated dataset for the Environmental Mapping and Analysis Program (EnMAP), the forthcoming German spaceborne hyperspectral mission. Each mage element is independently decomposed using contributions from a limited number of pixels, which come directly from the image and have previously undergone a low-pass filtering in noisy bands. Thus, the denoising application is reduced to a weighted sparse unmixing problem. A first assessment of the results is encouraging as the original bands taken into account are reconstructed with a high Signal-to-Noise Ratio and low overall distortions.

Item URL in elib:https://elib.dlr.de/99268/
Document Type:Conference or Workshop Item (Speech)
Title:Restoration of EnMAP Data through Sparse Reconstruction
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Cerra, Danieledaniele.cerra (at) dlr.deUNSPECIFIED
Bieniarz, Jakubjakub.bieniarz (at) dlr.deUNSPECIFIED
Storch, Tobiastobias.storch (at) dlr.deUNSPECIFIED
Müller, Rupertrupert.mueller (at) dlr.deUNSPECIFIED
Reinartz, Peterpeter.reinartz (at) dlr.deUNSPECIFIED
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:Yes
Gold Open Access:No
In ISI Web of Science:No
Page Range:pp. 1-4
EditorsEmailEditor's ORCID iD
Publisher:IEEE Xplore
Keywords:EnMAP, denoising, spectral unmixing, sparse reconstruction.
Event Title:Whispers 2015
Event Location:Tokyo, Japan
Event Type:international Conference
Event Dates:2.-5. Juni 2015
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)
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Photogrammetry and Image Analysis
Deposited By: Cerra, Daniele
Deposited On:12 Nov 2015 08:41
Last Modified:31 Jul 2019 19:56

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