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. doi: 10.1109/WHISPERS.2015.8075395.
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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/ | ||||||||||||||||||||||||
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Document Type: | Conference or Workshop Item (Speech) | ||||||||||||||||||||||||
Title: | Restoration of EnMAP Data through Sparse Reconstruction | ||||||||||||||||||||||||
Authors: |
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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 | ||||||||||||||||||||||||
DOI: | 10.1109/WHISPERS.2015.8075395 | ||||||||||||||||||||||||
Page Range: | pp. 1-4 | ||||||||||||||||||||||||
Editors: |
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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 - 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: | 24 Jul 2023 08:40 |
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