Shadow detection and compensation for color aerial images

Chih Wei Chang, Jaan Rong Tsay, Ruey An Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper presents a property-based method defined on principal components for automatic shadow detection, called the PCA method. This method applies both RGB and HSI color models. In addition, some shadowed image patches still offer the brightness and color information for shadow compensation. This research compares the methods of histogram matching and local statistics method, and figures out the effectiveness of the two methods. Experimental results are evaluated in terms of subjective and objective evaluation figures. Test results demonstrate that the proposed PCA method with the input data of the four bands R, G, B, and NIR provides the best accuracy of shadow detection, e.g. with the overall accuracy of 93.7% and 92.2% in the test areas A and B, respectively.

Original languageEnglish
Title of host publication32nd Asian Conference on Remote Sensing 2011, ACRS 2011
Pages2534-2539
Number of pages6
Publication statusPublished - 2011 Dec 1
Event32nd Asian Conference on Remote Sensing 2011, ACRS 2011 - Tapei, Taiwan
Duration: 2011 Oct 32011 Oct 7

Publication series

Name32nd Asian Conference on Remote Sensing 2011, ACRS 2011
Volume4

Other

Other32nd Asian Conference on Remote Sensing 2011, ACRS 2011
CountryTaiwan
CityTapei
Period11-10-0311-10-07

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications

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