TY - GEN
T1 - A comparative study on shadow detection of remote sensing image in color models
AU - Tsai, I. Chun
AU - Lin, Chao Hung
PY - 2010
Y1 - 2010
N2 - 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.
AB - 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.
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M3 - Conference contribution
AN - SCOPUS:84865660113
SN - 9781617823978
T3 - 31st Asian Conference on Remote Sensing 2010, ACRS 2010
SP - 1600
EP - 1605
BT - 31st Asian Conference on Remote Sensing 2010, ACRS 2010
T2 - 31st Asian Conference on Remote Sensing 2010, ACRS 2010
Y2 - 1 November 2010 through 5 November 2010
ER -