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Proceedings Paper

Fast algorithm for airfield extraction under complex circumstance based on remote sensing image
Author(s): Jinhui Lan; Shi Li; Zhenlong Bai
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Paper Abstract

According to analysis of runways geometric features in remote sensing images, a new airfield detection method combining color, texture segmentation and shape analysis is presented, where the color and texture features are used for global classification while shape information is used for local analysis. In order to extract airfield runway information, an improved method based on direction and length filter is proposed, in which the useless scanning can be stopped promptly. The experimental results presented in this paper show that this algorithm could eliminate the interference under complex circumstance and could improve the efficiency and accuracy of military airfield recognizing and understanding. It has higher computing speed and less space demand compared with the existing Hough-based algorithm. Furthermore, the proposed algorithm is simple and easy to implement.

Paper Details

Date Published: 27 January 2009
PDF: 9 pages
Proc. SPIE 7156, 2008 International Conference on Optical Instruments and Technology: Optical Systems and Optoelectronic Instruments, 715614 (27 January 2009); doi: 10.1117/12.811437
Show Author Affiliations
Jinhui Lan, Univ. of Science and Technology Beijing (China)
Shi Li, Univ. of Science and Technology Beijing (China)
Zhenlong Bai, Univ. of Science and Technology Beijing (China)


Published in SPIE Proceedings Vol. 7156:
2008 International Conference on Optical Instruments and Technology: Optical Systems and Optoelectronic Instruments
Yunlong Sheng; Yongtian Wang; Lijiang Zeng, Editor(s)

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