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Haze detection and removal in remotely sensed multispectral imagery

Makarau, Aliaksei and Richter, Rudolf and Müller, Rupert and Reinartz, Peter (2014) Haze detection and removal in remotely sensed multispectral imagery. IEEE Transactions on Geoscience and Remote Sensing, 52 (9), pp. 5895-5905. IEEE - Institute of Electrical and Electronics Engineers. DOI: 10.1109/TGRS.2013.2293662 ISSN 0196-2892

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Official URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6697865

Abstract

Haze degrades optical data and reduces the accuracy of the data interpretation. Haze detection and removal is a hallenging and an important task for optical multispectral data correction. This work presents an empirical and automatic method for inhomogeneous haze detection and removal in medium and high resolution satellite optical multispectral images. The dark object subtraction method is further developed to calculate a haze thickness map allowing a spectrally consistent haze removal on calibrated and uncalibrated satellite multispectral data. Rare scenes with a uniform and highly reflecting landcover result in limitations of the method. Evaluation on hazy multispectral data (Landsat 8 OLI and WorldView-2) and a comparison to haze free reference data illustrates the spectral consistency after haze removal.

Item URL in elib:https://elib.dlr.de/85644/
Document Type:Article
Title:Haze detection and removal in remotely sensed multispectral imagery
Authors:
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:2014
Journal or Publication Title:IEEE Transactions on Geoscience and Remote Sensing
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:52
DOI :10.1109/TGRS.2013.2293662
Page Range:pp. 5895-5905
Publisher:IEEE - Institute of Electrical and Electronics Engineers
ISSN:0196-2892
Status:Published
Keywords:Haze removal, Landsat 8 OLI, WorldView-2, spectral consistency
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:09 Dec 2013 08:57
Last Modified:31 Jul 2019 19:43

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