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Unmixing-based Denoising for Destriping and Inpainting of Hyperspectral Images

Cerra, Daniele and Müller, Rupert and Reinartz, Peter (2014) Unmixing-based Denoising for Destriping and Inpainting of Hyperspectral Images. In: Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International, pp. 4620-4623. IGARSS 2014, 13.-18. Juli 2014, Quebec City, Canada.

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Abstract

Unmixing-based Denoising exploits spectral unmixing results to selectively recover bands affected by a low Signal-to-Noise Ratio in hypespectral images. This paper proposes to apply this algorithm, which operates pixelwise, for the inpainting of corrupted pixels and the removal of drop-out artifacts in hy-perspectral scenes. The reported experiments are characterized by a low reconstruction error for the reconstructed spectra and a high visual quality of the processed images, and outperform state of the art methods in terms of reconstruction error.

Item URL in elib:https://elib.dlr.de/92837/
Document Type:Conference or Workshop Item (Speech)
Title:Unmixing-based Denoising for Destriping and Inpainting of Hyperspectral Images
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Cerra, DanieleMF-PBAUNSPECIFIED
Müller, RupertMF-PBAUNSPECIFIED
Reinartz, PeterMF-PBAUNSPECIFIED
Date:July 2014
Journal or Publication Title:Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
Refereed publication:No
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Page Range:pp. 4620-4623
Status:Published
Keywords:geophysical image processing;hyperspectral imaging;image denoising;image reconstruction;remote sensing;drop out artifacts;hyperspectral image destriping;hyperspectral image inpainting;hypespectral images;reconstruction error;unmixing based denoising;Hyperspectral imaging;Image reconstruction;Materials;Noise reduction;Signal to noise ratio;Three-dimensional displays;Spectral unmixing;denoising;destriping;hyperspectral data;image restoration;inpainting
Event Title:IGARSS 2014
Event Location:Quebec City, Canada
Event Type:international Conference
Event Dates:13.-18. Juli 2014
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:01 Dec 2014 18:22
Last Modified:01 Dec 2014 18:22

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