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Proceedings Paper

Airport runway recognition in complex infrared image using contextual information
Author(s): Zhaodong Niu; Songlin Liu; Dinghe Wang; Da Tang; Zengping Chen
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Paper Abstract

Airport runway recognition is of great significance in fields like remote sensing, navigation and traffic monitoring. An airport runway recognition method using the “hypothesize-and-verify” paradigm is proposed. Firstly, local line segments of runway contour are extracted in complex infrared image. Secondly, basing on a new Line Segment Hough Transform, local line segments vote fuzzily in the parameter space to obtain global line segment clustering, and then parallel straight lines are extracted on the basis of parameter space to form hypotheses of potential airport runways. Finally, using contextual information of airport constructions, hypotheses disambiguation and verification of runway is accomplished primarily by extraction of runway markings and segmentation of transportation network, i.e. taxiways and apron. Experimental results demonstrate the good performance of our method on a variety of complex scenes.

Paper Details

Date Published: 26 October 2013
PDF: 8 pages
Proc. SPIE 8918, MIPPR 2013: Automatic Target Recognition and Navigation, 89180C (26 October 2013); doi: 10.1117/12.2031410
Show Author Affiliations
Zhaodong Niu, National Univ. of Defense Technology (China)
Songlin Liu, National Univ. of Defense Technology (China)
Dinghe Wang, National Univ. of Defense Technology (China)
Da Tang, National Univ. of Defense Technology (China)
Zengping Chen, National Univ. of Defense Technology (China)

Published in SPIE Proceedings Vol. 8918:
MIPPR 2013: Automatic Target Recognition and Navigation
Tianxu Zhang; Nong Sang, Editor(s)

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