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About the Applications of Unmixing-Based Denoising for Hyperspectral Data

Cerra, Daniele and Müller, Rupert and Reinartz, Peter (2013) About the Applications of Unmixing-Based Denoising for Hyperspectral Data. In: ISPRS Archives - WG I/3: Multi-Platform Multi-Sensor System Calibration, XL-1 (W3), pp. 103-106. Copernicus Verlag. SMPR 2013, 5 – 8 Oct 2013, Tehran, Iran. ISBN 10.5194/isprsarchives-XL-1-W3-103-2013

Full text not available from this repository.

Official URL: http://www.isprs.org/news/newsletter/2013-05/51_SMPR2013_final.pdf

Abstract

Unmixing-based Denoising is a recently defined method which exploits spectral unmixing to recover bands characterized by a low Signal-to-Noise Ratio in a hyperspectral scene. The output of the unmixing process, which aims at decomposing each image element in signals typically related to pure materials, is inferred into the pixelwise reconstruction of a given band, ignoring the residual vector which is mainly characterized by undesired atmospheric influences and sensor-induced noise. The reconstructed images exhibit both high visual quality and reduced spectral distortions. This paper analyses the main problems that must be taken into account when applying this technique to real data. Special attention is given to the reference spectra used in the linear mixing model, which should be selected in order to keep the informational content of a given band unaltered in the reconstruction step.

Item URL in elib:https://elib.dlr.de/93148/
Document Type:Conference or Workshop Item (Speech)
Title:About the Applications of Unmixing-Based Denoising for Hyperspectral Data
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Cerra, Danieledaniele.cerra (at) dlr.deUNSPECIFIED
Müller, Rupertrupert.mueller (at) dlr.deUNSPECIFIED
Reinartz, Peterpeter.reinartz (at) dlr.deUNSPECIFIED
Date:2013
Journal or Publication Title:ISPRS Archives - WG I/3: Multi-Platform Multi-Sensor System Calibration
Refereed publication:No
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Volume:XL-1
Page Range:pp. 103-106
Editors:
EditorsEmail
Arefi, H.University of Tehran, Iran
Sharifi, M.A.University of Tehran, Iran
Reinartz, Peterpeter.reinartz@dlr.de
Delavar, M.R.University of Tehran, Iran
Publisher:Copernicus Verlag
ISBN:10.5194/isprsarchives-XL-1-W3-103-2013
Status:Published
Keywords:Hyperspectral remote sensing, denoising, spectral unmixing
Event Title:SMPR 2013
Event Location:Tehran, Iran
Event Type:international Conference
Event Dates:5 – 8 Oct 2013
Organizer:ASPRS
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:INVALID USER
Deposited On:04 Dec 2014 16:28
Last Modified:04 Dec 2014 16:28

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