Acta Optica Sinica, Volume. 37, Issue 11, 1104001(2017)
Point Target Detection Based on Omnidirectional Morphology Filtering and Local Characteristic Criterion
The characteristics of dim point target and background clutter under a complex background are analyzed. A point target detection method based on the omnidirectional multiscale morphology filtering and local characteristic criterion is proposed. The experimental results show that, under the conditions of a complex background and a low signal-to-noise ratio, the detection probability of the proposed method reaches 99.8% with a false alarm probability of 0.1%. The results indicate that, when compared with the methods of Max-median filter, difference of Gaussian scale-space, and Gaussian mixture model, the proposed method possesses a better performance to suppress the complex background, and simultaneously a low complexity and an easy real-time implementation.
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Rang Liu, Dejiang Wang, Ping Jia, Xin Che. Point Target Detection Based on Omnidirectional Morphology Filtering and Local Characteristic Criterion[J]. Acta Optica Sinica, 2017, 37(11): 1104001
Category: Detectors
Received: Jun. 21, 2017
Accepted: --
Published Online: Sep. 7, 2018
The Author Email: Wang Dejiang (wangdj04@ciomp.ac.cn)