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

I. Chun Tsai, Chao-Hung Lin

研究成果: Conference contribution

摘要

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.

原文English
主出版物標題31st Asian Conference on Remote Sensing 2010, ACRS 2010
頁面1600-1605
頁數6
出版狀態Published - 2010 十二月 1
事件31st Asian Conference on Remote Sensing 2010, ACRS 2010 - Hanoi, Viet Nam
持續時間: 2010 十一月 12010 十一月 5

出版系列

名字31st Asian Conference on Remote Sensing 2010, ACRS 2010
2

Other

Other31st Asian Conference on Remote Sensing 2010, ACRS 2010
國家Viet Nam
城市Hanoi
期間10-11-0110-11-05

    指紋

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications

引用此

Tsai, I. C., & Lin, C-H. (2010). A comparative study on shadow detection of remote sensing image in color models. 於 31st Asian Conference on Remote Sensing 2010, ACRS 2010 (頁 1600-1605). (31st Asian Conference on Remote Sensing 2010, ACRS 2010; 卷 2).