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Proceedings Paper

Dim target detection method based on salient graph fusion
Author(s): Ruo-lan Hu; Yi-yan Shen; Jun Jiang
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Paper Abstract

Dim target detection is one key problem in digital image processing field. With development of multi-spectrum imaging sensor, it becomes a trend to improve the performance of dim target detection by fusing the information from different spectral images. In this paper, one dim target detection method based on salient graph fusion was proposed. In the method, Gabor filter with multi-direction and contrast filter with multi-scale were combined to construct salient graph from digital image. And then, the maximum salience fusion strategy was designed to fuse the salient graph from different spectral images. Top-hat filter was used to detect dim target from the fusion salient graph. Experimental results show that proposal method improved the probability of target detection and reduced the probability of false alarm on clutter background images.

Paper Details

Date Published: 19 February 2018
PDF: 7 pages
Proc. SPIE 10608, MIPPR 2017: Automatic Target Recognition and Navigation, 1060809 (19 February 2018); doi: 10.1117/12.2284940
Show Author Affiliations
Ruo-lan Hu, Huazhong Univ. of Science and Technology (China)
Yi-yan Shen, Huazhong Univ. of Science and Technology (China)
Jun Jiang, Huazhong Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 10608:
MIPPR 2017: Automatic Target Recognition and Navigation
Jianguo Liu; Jayaram K. Udupa; Hanyu Hong, Editor(s)

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