Detection of laser and infrared fusion target

Han Yibo; Yang Xinfeng; Teng Shuhua; Zhuang Zhiyun

doi:10.3788/IRLA201847.0804005

Aiming at requirement of automation target recognition, a new target detection method of laser and infrared fusion was studied. Firstly, the infrared target detection method based on direction saliency was introduced, and the advantages and disadvantages of the algorithm were analyzed. A laser and infrared fusion target detection algorithm was proposed. The distance information measured by lidar was incorporated into the infrared target detection algorithm based on directional saliency, which greatly improved the precision of the target detection algorithm. The simulation experiment shows that this method solves the problems of poor adaptability and robustness of single source infrared target detection algorithm, and greatly improves the detection rate of the target.

Detection of laser and infrared fusion target

1. School of Software,Nanyang Institute of Technology,Nanyang 473004,China;

2. School of Computer Science,Wuhan University,Wuhan 430079,China;

3. College of Computer and Information Engineering,Nanyang Institute of Technology,Nanyang 473004,China;

4. Science and Technology on Automatic Target Recognition Laboratory,National University of Defense Technology,Changsha 410073,China

Received Date: 2018-03-05

Rev Recd Date: 2018-04-03

Publish Date: 2018-08-25

Key words:

Abstract: Aiming at requirement of automation target recognition, a new target detection method of laser and infrared fusion was studied. Firstly, the infrared target detection method based on direction saliency was introduced, and the advantages and disadvantages of the algorithm were analyzed. A laser and infrared fusion target detection algorithm was proposed. The distance information measured by lidar was incorporated into the infrared target detection algorithm based on directional saliency, which greatly improved the precision of the target detection algorithm. The simulation experiment shows that this method solves the problems of poor adaptability and robustness of single source infrared target detection algorithm, and greatly improves the detection rate of the target.

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Reference (13)

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Detection of laser and infrared fusion target

doi: 10.3788/IRLA201847.0804005

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