An anti-interfering "cat-eye" target detection method based on intelligent sight

Bai Xingbin; Zhang Zhuo; Zhang Zhenyu; Fan Dapeng

doi:10.12086/oee.2021.210115

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Bai X B, Zhang Z, Zhang Z Y, et al. An anti-interfering 'cat-eye' target detection method based on intelligent sight[J]. Opto- Electron Eng, 2021, 48(9): 210115. doi: 10.12086/oee.2021.210115

Citation:

Bai X B, Zhang Z, Zhang Z Y, et al. An anti-interfering "cat-eye" target detection method based on intelligent sight[J]. Opto- Electron Eng, 2021, 48(9): 210115. doi: 10.12086/oee.2021.210115

An anti-interfering "cat-eye" target detection method based on intelligent sight

College of Intelligence Science and Technology, National University of Defense Technology, Changsha, Hunan 410073, China

More Information

^*Corresponding author: Fan Dapeng, E-mail: fdp@nudt.edu.cn

Received Date 11 April 2021

Revised Date 30 July 2021

Published Date 15 September 2021

Abstract

Abstract

Although the current laser active detection system used to find "cat-eye" target has large transmitting power and long detection distance, it generally has the disadvantages of high quality and poor flexibility. In order to enhance flexibility, reduce operational response time and ensure that the target can be destroyed as soon as it is found, a low-power active "cat-eye" detection system can be integrated in the intelligent sight to complement the existing system. Because the intelligent sight is integrated with a small laser rangefinder and CMOS image sensor, according to its hardware characteristics, this paper designs an anti-interference "cat-eye" target detection method, which uses low-power laser to emit pseudo-random coded laser pulse sequence, CMOS sensor to synchronously collect data, and extract target information through correlation operation, and carries out theoretical analysis and experimental verification. The experimental results show that the method has strong stability and anti-interference ability, and can make the intelligent sight find "cat-eye" target in complex background.
- "cat-eye" target /
- M-sequence /
- CMOS image sensor /
- intelligent sight /
- correlation operation

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References

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Overview

Overview

Overview: According to the principle of the "cat-eye" effect in the optical system, the optical equipment can be accurately located by emitting a laser beam to the target area and detecting the echo. According to this principle, a laser active detection system for reflective investigation can be designed. France and other countries have developed military equipment, which show good performance in use. Although the existing laser active detection system has the advantages of high transmitting power, long detection distance, and high positioning accuracy, it also has the disadvantages of high quality and poor flexibility. Therefore, it takes a long time from finding the target to hitting the target, and it is easy to lose the chance of hitting the target. In order to enhance the flexibility of the "cat-eye" target active detection system and reduce the time from finding target to attacking the target, the active detection system can be integrated into intelligent sight to detect the "cat-eye" target in a short distance quickly, which complements the existing laser active detection system.

At present, image processing technology has made rapid progress, and there has been a lot of research on "cat-eye" target active detection technology based on image processing. The intelligent sight is integrated with a CMOS image sensor and a laser transmitter. It has the structure of laser active detection system, so it can be used for laser active detection, but the power of the laser transmitter on the intelligent sight is so low that the detection distance is short and the anti-interference ability is weak. In order to enhance the target signal, eliminate the background noise, and achieve the effect of anti-interference, this paper uses M-sequence coding and its correlation processing method, which are widely used in signal processing. To make the laser emit M-sequence coded laser pulse, the CMOS sensor is utilized to collect image data synchronously and the "cat-eye" target information is extracted through correlation processing.

Due to the need to maintain the relative stability of the intelligent sight by human operation during the aiming process, the spatial direction of the image sensor will change slightly during the whole aiming process, which will eventually lead to the slight displacement between the frames of the image in the process of image acquisition.

In order to overcome the small displacement between adjacent frames in the image acquisition procedure and reduce the noise in the image difference process, the feature points in the collected multi-frame images are detected. The Lucas Kanade feature tracker method is used to track the feature points in the image. The inter-frame displacement of the image is analyzed, and the image registration operation is carried out according to the inter-frame displacement.

Theoretical analysis shows that compared with the traditional image difference method, the proposed method has a significant enhancement effect on the "cat's eye" target signal and a stronger ability to suppress the background noise. The test results of the "cat-eye" target in the indoor environment and the outdoor environment with different weather conditions also show that the proposed method has strong stability and anti-interference ability and can recognize the "cat-eye" target in complex environment background.