DLR-Logo -> http://www.dlr.de
DLR Portal Home | Imprint | Privacy Policy | Contact | Deutsch
Fontsize: [-] Text [+]

Cirrus Removal in Multispectral Data without 1.38 μm Spectral Data

Makarau, Aliaksei and Richter, Rudolf and Zekoll, Viktoria and Reinartz, Peter (2016) Cirrus Removal in Multispectral Data without 1.38 μm Spectral Data. XXIII ISPRS Congress, 12.-19. July 2016, Prague, Czech Republic. DOI: 10.5194/isprsannals-III-7-41-2016

[img] PDF

Official URL: http://www.isprs2016-prague.com/


Cirrus is one of the most common artifacts in the remotely sensed optical data. Contrary to the low altitude (1-3 km) cloud the cirrus cloud (8-20 km) is semitransparent and the extinction (cirrus influence) of the upward reflected solar radiance can be compensated. The widely employed and almost ’de-facto’ method for cirrus compensation is based on the 1.38μm spectral channel measuring the upwelling radiance reflected by the cirrus cloud. The knowledge on the cirrus spatial distribution allows to estimate the per spectral channel cirrus attenuation and to compensate the spectral channels. A wide range of existing and expected sensors have no 1.38μm spectral channel. These sensors data can be corrected by the recently developed haze/cirrus removal method. The additive model of the estimated cirrus thickness map (CTM) is applicable for cirrus-conditioned extinction compensation. Numeric and statistic evaluation of the CTM-based cirrus removal on more than 80 Landsat-8 OLI and 30 Sentinel-2 scenes demonstrates a close agreement with the 1.38μm channel based cirrus removal.

Item URL in elib:https://elib.dlr.de/107883/
Document Type:Conference or Workshop Item (Poster)
Title:Cirrus Removal in Multispectral Data without 1.38 μm Spectral Data
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Makarau, AliakseiAliaksei.Makarau (at) dlr.deUNSPECIFIED
Richter, RudolfRudolf.Richter (at) dlr.deUNSPECIFIED
Zekoll, Viktoriaviktoria.zekoll (at) dlr.deUNSPECIFIED
Reinartz, Peterpeter.reinartz (at) dlr.deUNSPECIFIED
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:No
DOI :10.5194/isprsannals-III-7-41-2016
Page Range:pp. 41-44
Keywords:Cirrus removal, haze removal, multispectral data, Landsat 8 OLI, Sentinel-2
Event Title:XXIII ISPRS Congress
Event Location:Prague, Czech Republic
Event Type:international Conference
Event Dates:12.-19. July 2016
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:16 Nov 2016 10:44
Last Modified:31 Jul 2019 20:05

Repository Staff Only: item control page

Help & Contact
electronic library is running on EPrints 3.3.12
Copyright © 2008-2017 German Aerospace Center (DLR). All rights reserved.