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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, 2013-10-05 - 2013-10-08, 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


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
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Müller, RupertUNSPECIFIEDhttps://orcid.org/0000-0002-3288-5814UNSPECIFIED
Reinartz, PeterUNSPECIFIEDhttps://orcid.org/0000-0002-8122-1475UNSPECIFIED
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 ISI Web of Science:No
Page Range:pp. 103-106
EditorsEmailEditor's ORCID iDORCID Put Code
Arefi, H.University of Tehran, IranUNSPECIFIEDUNSPECIFIED
Sharifi, M.A.University of Tehran, IranUNSPECIFIEDUNSPECIFIED
Reinartz, PeterUNSPECIFIEDhttps://orcid.org/0000-0002-8122-1475UNSPECIFIED
Delavar, M.R.University of Tehran, IranUNSPECIFIEDUNSPECIFIED
Publisher:Copernicus Verlag
Keywords:Hyperspectral remote sensing, denoising, spectral unmixing
Event Title:SMPR 2013
Event Location:Tehran, Iran
Event Type:international Conference
Event Start Date:5 October 2013
Event End Date:8 October 2013
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 On:04 Dec 2014 16:28
Last Modified:24 Apr 2024 19:59

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