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Exploiting noisy hyperspectral bands for water analysis

Cerra, Daniele and Gege, Peter and Müller, Rupert and Reinartz, Peter (2013) Exploiting noisy hyperspectral bands for water analysis. In: 33th EarSEL Symposium Proceedings, pp. 43-48. 33th EARSeL Symposium, 3.-6. Juni 2013, Matera, Italien. ISBN 9788889693346

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Official URL: http://www.earsel.org/symposia/2013-symposium-Matera/proceedings.php


This paper proposes a novel algorithm for the recovery of noisy bands from hyperspec-tral images. The method, based on spectral unmixing, relies on the spectral behavior of the materi-als on ground composing each image element. Firstly, reference spectra related to the classes of in-terest are used to perform spectral unmixing: these exhibit negligible noise influences as they are averaged over areas for which ground truth is available. After the unmixing process, the residual vector is mostly composed by the contributions of uninteresting materials, unwanted atmospheric influences and sensor-induced noise, and is thus ignored in the reconstruction of each spectrum. Finally, the value of a pixel in a given band is predicted as a combination of the noise-free end-members, resulting in a signal with high signal-to-noise ratio in any spectral band. Experiments show that this method could be used to retrieve spectral information from corrupted bands, such as the ones placed at the edge between Ultraviolet and visible light frequencies, which are usually dominated by atmospheric effects and are thus discarded in practical applications. The proposed algorithm could then be exploited in the study of Coloured dissolved organic matter (CDOM) in natural waters.

Item URL in elib:https://elib.dlr.de/89072/
Document Type:Conference or Workshop Item (Speech)
Title:Exploiting noisy hyperspectral bands for water analysis
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Cerra, Danieledaniele.cerra (at) dlr.deUNSPECIFIED
Gege, Peterpeter.gege (at) dlr.deUNSPECIFIED
Müller, Rupertrupert.mueller (at) dlr.deUNSPECIFIED
Reinartz, Peterpeter.reinartz (at) dlr.deUNSPECIFIED
Date:June 2013
Journal or Publication Title:33th EarSEL Symposium Proceedings
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:No
Page Range:pp. 43-48
Lasaponara, RosaCNR, Italy
Masini, NicolaCNR, Italy
Biscione, MarilisaCNR, Italy
Keywords:Spectral unmixing, denoising, image restoration, hyperspectral images, water analysis, CDOM, HySpex
Event Title:33th EARSeL Symposium
Event Location:Matera, Italien
Event Type:international Conference
Event Dates:3.-6. Juni 2013
Organizer:European Association of Remote Sensing Laboratories
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:07 May 2014 13:03
Last Modified:31 Jul 2019 19:46

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