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Adaptive Shadow Detection Using a Blackbody Radiator Model

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

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

Abstract

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.

Document Type:Article
Title:Adaptive Shadow Detection Using a Blackbody Radiator Model
Authors:
AuthorsInstitution or Email of Authors
Makarau, Aliakseialiaksei.makarau@dlr.de
Richter, Rudolfrudolf.richter@dlr.de
Müller, Rupertrupert.mueller@dlr.de
Reinartz, Peterpeter.reinartz@dlr.de
Date:June 2011
Journal or Publication Title:IEEE Transactions on Geoscience and Remote Sensing
Refereed publication:Yes
In Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:49
Page Range:pp. 2049-2059
Publisher:IEEE
ISSN:0196-2892
Status:Published
Keywords:Blackbody radiator, multispectral image, Planck equation, shadow detection
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Transport
HGF - Program Themes:Traffic Management
DLR - Research area:Transport
DLR - Program:V VM - Verkehrsmanagement
DLR - Research theme (Project):V - VABENE (old)
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Land Surface
Remote Sensing Technology Institute > Photogrammetry and Image Analysis
Deposited By: Aliaksei Makarau
Deposited On:14 Jun 2011 08:10
Last Modified:12 Dec 2013 21:18

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