A comparative study on shadow detection of remote sensing image in color models

I. Chun Tsai, Chao-Hung Lin

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

Abstract

Aerial and satellite images are useful and important data in the field of remote sensing. However, the shadows of clouds and buildings generally raise difficulties over various processing on images. In this paper, a comparative study on shadow detection in various color models is introduced. Without 3D geometry of scenes, a detection approach based on shadow properties is tested in various color models. The experimental results show that detecting shadow in the color models, HSV, YIQ and YCbCr, has better performance in terms of detection accuracy.

Original languageEnglish
Title of host publication31st Asian Conference on Remote Sensing 2010, ACRS 2010
Pages1600-1605
Number of pages6
Publication statusPublished - 2010 Dec 1
Event31st Asian Conference on Remote Sensing 2010, ACRS 2010 - Hanoi, Viet Nam
Duration: 2010 Nov 12010 Nov 5

Publication series

Name31st Asian Conference on Remote Sensing 2010, ACRS 2010
Volume2

Other

Other31st Asian Conference on Remote Sensing 2010, ACRS 2010
Country/TerritoryViet Nam
CityHanoi
Period10-11-0110-11-05

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications

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