22 October 2001 Knowledge-based recognition algorithm for long-range infrared bridge images
Author Affiliations +
Proceedings Volume 4379, Automatic Target Recognition XI; (2001); doi: 10.1117/12.445363
Event: Aerospace/Defense Sensing, Simulation, and Controls, 2001, Orlando, FL, United States
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.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zhiguo Cao, Qi Sun, Tianxu Zhang, "Knowledge-based recognition algorithm for long-range infrared bridge images", Proc. SPIE 4379, Automatic Target Recognition XI, (22 October 2001); doi: 10.1117/12.445363; https://doi.org/10.1117/12.445363


Detection and tracking algorithms

Infrared imaging

Image segmentation

Infrared radiation

Long wavelength infrared

Evolutionary algorithms


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