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Spectrally consistent haze removal in multispectral data

Makarau, Aliaksei and Richter, Rudolf and Müller, Rupert and Reinartz, Peter (2014) Spectrally consistent haze removal in multispectral data. In: Image and Signal Processing for Remote Sensing XX, 9244, pp. 1-7. SPIE. SPIE Remote sensing Europe, 22-25 September 2014, Amsterdam, Netherlands. ISBN 9781628413076

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Official URL: http://dx.doi.org/10.1117/12.2070025


The presence of haze reduces the accuracy of optical data interpretation acquired from satellites. Medium and high spatial resolution multispectral data are often degraded by haze and haze detection and removal is still a challenging and important task. An empirical and automatic method for inhomogeneous haze removal is presented in this work. The dark object subtraction method is further developed to calculate a spatially varying haze thickness map. The subtraction of the haze thickness map from hazy images allows a spectrally consistent haze removal on calibrated and uncalibrated satellite multispectral data. The spectral consistency is evaluated using hazy and haze free remotely sensed medium resolution multispectral data.

Item URL in elib:https://elib.dlr.de/91733/
Document Type:Conference or Workshop Item (Poster)
Title:Spectrally consistent haze removal in multispectral data
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Makarau, Aliakseialiaksei.makarau (at) dlr.deUNSPECIFIED
Richter, Rudolfrudolf.richter (at) dlr.deUNSPECIFIED
Müller, Rupertrupert.mueller (at) dlr.deUNSPECIFIED
Reinartz, Peterpeter.reinartz (at) dlr.deUNSPECIFIED
Date:27 October 2014
Journal or Publication Title:Image and Signal Processing for Remote Sensing XX
Refereed publication:No
Open Access:No
Gold Open Access:No
In ISI Web of Science:No
Page Range:pp. 1-7
Bruzzone, LorenzoUNSPECIFIED
Series Name:Proceedings of SPIE
Keywords:Haze removal, Landsat 8 OLI, RapidEye, WorldView-2, spectral consistency
Event Title:SPIE Remote sensing Europe
Event Location:Amsterdam, Netherlands
Event Type:international Conference
Event Dates:22-25 September 2014
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: Makarau, Aliaksei
Deposited On:21 Nov 2014 18:17
Last Modified:12 Oct 2015 10:43

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