基于遗传算法红外小目标检测的研究

Infrared Small Target Detection Research Based on Genetic Algorithm

为解决复杂空中背景下红外弱小目标的快速检测,提出了一种基于遗传算法的检测思路。该思路主要是通过利用遗传算法高效快速的搜索方式,结合传统的红外小目标检测算法,最终实现红外弱小目标的快速检测。最后通过MATLAB编程后,实现了复杂背景下红外小目标的快速检测。通过仿真及与相应的传统算法的比较,发现了遗传算法自身的优势和劣势,最后说明了遗传算法在红外小目标检测领域广阔的应用前景。

Detection of the infrared small target has always been the difficulty and emphasis of the field. In this paper, a fast and efficient infrared small target searching method based on genetic algorithms has been proposed. The main idea of this method is using search methods of the genetic algorithm and combining with the traditional infrared small target detection algorithm, to realize the rapid detection of weak infrared target. By comparing the result of MATLAB simulation, we find the advantages and disadvantages of the genetic algorithm, and finally present the potential applications of genetic algorithms in the field.