19 February 2018 Dim target detection method based on salient graph fusion
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Proceedings Volume 10608, MIPPR 2017: Automatic Target Recognition and Navigation; 1060809 (2018) https://doi.org/10.1117/12.2284940
Event: Tenth International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2017), 2017, Xiangyang, China
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.
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Ruo-lan Hu, Ruo-lan Hu, Yi-yan Shen, Yi-yan Shen, Jun Jiang, Jun Jiang, } "Dim target detection method based on salient graph fusion", Proc. SPIE 10608, MIPPR 2017: Automatic Target Recognition and Navigation, 1060809 (19 February 2018); doi: 10.1117/12.2284940; https://doi.org/10.1117/12.2284940
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