Infrared small signal target extended range detection method and system

Abstract

The invention relates to the technical field of photoelectric detection, and discloses an infrared small-signal target extended range detection method and system. The method comprises: an acquisition step of collecting dynamic images of the detection area in real time; a search step of simultaneously processing the same detection frame in the dynamic image by using multiple single-frame target detection algorithms, comprehensively evaluating the processing results, and screening out The most credible target point to be measured; the tracking step is to use a dynamic programming algorithm to detect the target point to be measured, and to perform cumulative calculation and image segmentation on a plurality of continuous detection frames in the dynamic image. Confirm the real target points among the target points to be tested and eliminate false alarm points. The invention uses a multi-mode fusion algorithm to realize fast and accurate detection of infrared small-signal targets, and can effectively improve the detection distance of small-weak signal targets and greatly reduce computing time under the condition that the input signal of the front-end sensor remains unchanged.

Description

technical field [0001] The invention relates to the technical field of photoelectric detection, in particular to an infrared small-signal target extended-range detection method and system. Background technique [0002] Compared with radar detection, photoelectric detection has been paid more and more attention because it is not easily affected by electromagnetic interference, and has become an indispensable detection method besides radar detection. Photoelectric detection is widely used in various fields of military and civilian use. For example, in the visible or near-infrared band, it is mainly used for ray measurement and detection, industrial automatic control, photometry, etc.; in the infrared band, it is mainly used for missile guidance, infrared thermal imaging, Infrared remote sensing, etc. Among them, the detection of weak and small infrared targets is of great significance in the field of long-distance remote sensing or early warning. [0003] The existing photoe...

AI Technical Summary

Problems solved by technology

[0003] The existing photoelectric detection technology mainly receives optical signals for detection. Although it is not easily affected by electromagnetic interference, it is still limited by the resolution of the sensor and the sensing method.

For example, there is a minimum signal strength requirement for target detection. When encountering strong light irradiation or reflection, or bright cloud background, it is easy to affect the detection result or even report a false alarm.

Especially for the detection of infrared small-signal targets, it is first necessary to use detection algorithms to separate the targets from the background. At present, the detection algorithms are mostly implemented with the help of DSP modules, which are complex, time-consuming, inefficient, and very easy to increase the cost of optical closed loops. Time delay, weak detection ability and large error in real-time tracking accuracy

Using the existing technology, the minimum intensity of the detection signal needs to be no less than 6 image signal-to-noise ratios (small area peak signal-to-noise ratio), which has certain requirements for signal strength, and small signal targets are difficult to be detected

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