Fan Mingming, Tian Shaoqing, Liu Kai, Zhao Jiaxin, Li Yunsong. Infrared small target detection agorithm based on gradient direction consistency and eigendecomposition[J]. Infrared and Laser Engineering, 2020, 49(1): 0126001-0126001(12). doi: 10.3788/IRLA202049.0126001
| Citation:
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Fan Mingming, Tian Shaoqing, Liu Kai, Zhao Jiaxin, Li Yunsong. Infrared small target detection agorithm based on gradient direction consistency and eigendecomposition[J]. Infrared and Laser Engineering, 2020, 49(1): 0126001-0126001(12). doi: 10.3788/IRLA202049.0126001
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Infrared small target detection agorithm based on gradient direction consistency and eigendecomposition
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1. School of Telecommunications Engineering, Xidian University, Xi'an 710071, China;
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2. School of Computer Science and Technology, Xidian University, Xi'an 710071, China;
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3. Changchun Changguang Insight Vision Optoelectronic Technology Co., Ltd, Changchun 130102, China
- Received Date: 2019-10-11
- Rev Recd Date:
2019-11-21
- Publish Date:
2020-01-28
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Abstract
Under the complicated sea and sky background, the existing infrared small target detection algorithms have the problem of high false alarm rate. In this paper, the feature differences between the target and the background were deeply analyzed. Firstly, a method based on gray difference and gradient direction consistency was proposed. The small target was enhanced and some background clutter was suppressed. Secondly, the sharp edge background was further suppressed by combining the eigendecomposition method. Finally, the adaptive threshold was used to separate the small target. The experimental results show that compared with the five existing algorithms, the proposed detection algorithm can effectively reduce the false alarm rate in different complex scenes, greatly improve the signal-to-clutter ratio (SCR) and the background inhibitory factor (BSF), and have good robustness.
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