Research on infrared dim small target detection technology in complex environment
复杂环境下的红外弱小目标检测技术研究

摘要

复杂环境下的红外弱小目标的检测是光学制导的研究热点。如果红外目标距离探测器较远，其光学成像显示为无纹理的弱点源。噪声干扰使得目标与噪声难以区分。基于此，本文提出基于侧抑制网络的红外背景抑制算法，然后研究高信噪比下的红外弱小目标检测技术，首先抑制红外背景，然后分割红外图像，确定红外目标，基于目标运动的时间相关性进行单帧检测，过滤虚警点，实现弱小目标检测，最后，结合实际数据验证检测技术的可行性，结果显示该技术对于复杂环境下红外弱小目标的检测率达到96%，实际应用效果较好。

Abstract

Infrared dim small target detection in complex environment is a research hotspot in optical guidance. If the infrared target is far away from the detector, its optical imaging appears as an untextured source of weakness. Noise interference makes the target indistinguishable from noise. Based on this, this paper proposes the infrared background suppression algorithm based on side suppression network, and then studies the infrared dim dim target detection technology under high signal-to-noise ratio. Firstly, the infrared background is suppressed, and then the infrared image is segmtioned to determine the infrared target. Based on the time correlation of the target motion, the single frame detection is carried out to filter the false alarm points and realize the dim dim target detection. Combined with the actual data to verify the feasibility of the detection technology, the results show that the detection rate of the technology for infrared dim small targets in complex environment reaches 96%, and the practical application effect is good.