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Adaptive Shadow Detection Using a Blackbody Radiator Model

Makarau, Aliaksei und Richter, Rudolf und Müller, Rupert und Reinartz, Peter (2011) Adaptive Shadow Detection Using a Blackbody Radiator Model. IEEE Transactions on Geoscience and Remote Sensing, 49 (6), Seiten 2049-2059. IEEE. ISSN 0196-2892.

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Offizielle URL: http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=5685658

Kurzfassung

The application potential of remotely sensed optical imagery is boosted through the increase in spatial resolution, and new analysis, interpretation, classification, and change detection methods are developed. Together with all the advantages, shadows are more present in such images, particularly in urban areas. This may lead to errors during data processing. The task of automatic shadow detection is still a current research topic. Since image acquisition is influenced by many factors such as sensor type, sun elevation and acquisition time, geographical coordinates of the scene, conditions and contents of the atmosphere, etc., the acquired imagery has highly varying intensity and spectral characteristics. The variance of these characteristics often leads to errors, using standard shadow detection methods. Moreover, for some scenes, these methods are inapplicable. In this paper, we present an alternative robust method for shadow detection. The method is based on the physical properties of a blackbody radiator. Instead of static methods, this method adaptively calculates the parameters for a particular scene and allows one to work with many different sensors and images obtained with different illumination conditions. Experimental assessment illustrates significant improvement for shadow detection on typical multispectral sensors in comparison to other shadow detection methods. Examples, as well as quantitative assessment of the results, are presented for Landsat-7 Enhanced Thematic Mapper Plus, IKONOS, World- View-2, and the German Aerospace Center (DLR) 3K Camera airborne system.

Dokumentart:Zeitschriftenbeitrag
Titel:Adaptive Shadow Detection Using a Blackbody Radiator Model
Autoren:
AutorenInstitution oder E-Mail-Adresse der Autoren
Makarau, Aliakseialiaksei.makarau@dlr.de
Richter, Rudolfrudolf.richter@dlr.de
Müller, Rupertrupert.mueller@dlr.de
Reinartz, Peterpeter.reinartz@dlr.de
Datum:Juni 2011
Erschienen in:IEEE Transactions on Geoscience and Remote Sensing
Referierte Publikation:Ja
In Open Access:Nein
In SCOPUS:Ja
In ISI Web of Science:Ja
Band:49
Seitenbereich:Seiten 2049-2059
Verlag:IEEE
ISSN:0196-2892
Status:veröffentlicht
Stichwörter:Blackbody radiator, multispectral image, Planck equation, shadow detection
HGF - Forschungsbereich:Luftfahrt, Raumfahrt und Verkehr
HGF - Programm:Verkehr
HGF - Programmthema:Verkehrsmanagement
DLR - Schwerpunkt:Verkehr
DLR - Forschungsgebiet:V VM - Verkehrsmanagement
DLR - Teilgebiet (Projekt, Vorhaben):V - VABENE (alt)
Standort: Oberpfaffenhofen
Institute & Einrichtungen:Deutsches Fernerkundungsdatenzentrum > Landoberfläche
Institut für Methodik der Fernerkundung > Photogrammetrie und Bildanalyse
Hinterlegt von: Aliaksei Makarau
Hinterlegt am:14 Jun 2011 08:10
Letzte Änderung:12 Dez 2013 21:18

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