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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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Abstract

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
Authors:
AuthorsInstitution or Email of AuthorsAuthors 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
Date:2015
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 SCOPUS:No
In ISI Web of Science:No
Page Range:pp. 1-4
Editors:
EditorsEmail
UNSPECIFIEDIEEE Org.
Publisher:IEEE Xplore
Status:Published
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
Organizer:IEEE
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 hochauflösende Fernerkundungsverfahren
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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