A method of automatic recognition of airport in complex environment from remote sensing image

Qiwei Hao; Guoqiang Ni

doi:10.1117/12.840102

24 November 2009 A method of automatic recognition of airport in complex environment from remote sensing image

Qiwei Hao, Guoqiang Ni

Proceedings Volume 7513, 2009 International Conference on Optical Instruments and Technology: Optoelectronic Imaging and Process Technology; 751333 (2009) https://doi.org/10.1117/12.840102
Event: International Conference on Optical Instrumentation and Technology, 2009, Shanghai, China

Abstract

In this paper, a new method is proposed for airport recognition in complex environments. The algorithm takes all advantages of essential characteristics of the airport target. Structural characteristics of the airport are used to establish assumption process. Improved Hough transformation (HT) is used to check out those right straight-lines which stand for actual position and direction of runways. Morphological processing is used to remove road segments and isolated points. Finally, we combine these segments carefully to describe the whole airport area, and then our automatic recognition of airport target is realized.

Citation Download Citation

Qiwei Hao and Guoqiang Ni "A method of automatic recognition of airport in complex environment from remote sensing image", Proc. SPIE 7513, 2009 International Conference on Optical Instruments and Technology: Optoelectronic Imaging and Process Technology, 751333 (24 November 2009); https://doi.org/10.1117/12.840102

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available