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Proceedings Paper

Knowledge-based recognition algorithm for long-range infrared bridge images
Author(s): Zhiguo Cao; Qi Sun; Tianxu Zhang
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Paper Abstract

The recognition of bridge in long-range infrared images presents a number of problems due to the complexity of background, high noise interference, small size of target and low contrast between bridge and its surrounding water area. To counter these barriers, we have developed a new knowledge-based recognition algorithm. It first detects the candidate bridge sub-regions and then focus on them. According to the degree to which they match with our pre-built framework, different credits are given, so the false objects are excluded and eventually real target is found. The experimental results demonstrate our localized method is always superior to the traditional global algorithms adopted by most former researchers.

Paper Details

Date Published: 22 October 2001
PDF: 8 pages
Proc. SPIE 4379, Automatic Target Recognition XI, (22 October 2001); doi: 10.1117/12.445363
Show Author Affiliations
Zhiguo Cao, Huazhong Univ. of Science and Technology (China)
Qi Sun, Huazhong Univ. of Science and Technology (China)
Tianxu Zhang, Huazhong Univ. of Science and Technology (China)

Published in SPIE Proceedings Vol. 4379:
Automatic Target Recognition XI
Firooz A. Sadjadi, Editor(s)

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