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Proceedings Paper

Scale adaptive FLIR target detection method for complex background
Author(s): Jing Liu; Jiyin Sun; Bing Han
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Paper Abstract

According to the FLIR image of complex ground fixed target have disordered gray difference between target and background, and no base image available, we propose a target detection algorithm in FLIR imagery using scale space theory. First the reference image been created depending on the satellite dates, 2D Forward-looking image sequences of target regions created by using VRMap software according to the flying route. After performing LoG filtering on these reference images, we obtain a series of characteristic scale, where each scale is related to the size of target. Using these scales, several blob-like candidate regions can be found with the same size with reference image. Then the result is obtained between candidate regions and the reference image using Hausdorff measure and centroid distance. A simulation experiment is developed for the proposed algorithm and results show that our method has high accuracy and quickly performance and it has strong practicability.

Paper Details

Date Published: 30 October 2009
PDF: 7 pages
Proc. SPIE 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis, 74953K (30 October 2009); doi: 10.1117/12.833143
Show Author Affiliations
Jing Liu, Xi'an Research Institute of High Technology (China)
Jiyin Sun, Xi'an Research Institute of High Technology (China)
Bing Han, Xi'an Research Institute of High Technology (China)


Published in SPIE Proceedings Vol. 7495:
MIPPR 2009: Automatic Target Recognition and Image Analysis
Tianxu Zhang; Bruce Hirsch; Zhiguo Cao; Hanqing Lu, Editor(s)

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