基于背景抑制的4种红外小目标检测算法比较

The Comparison of Four Detection Performances for Small Targets in Infrared Images Based on Background Rejection

背景抑制是红外小目标检测的关键技术。对空域高通滤波、最大中值滤波、单一结构元素形态学和多结构元素形态学的背景抑制原理进行分析,并在云杂波背景条件下对4种算法进行仿真并作比较。仿真结果表明多结构元素形态学算法性能最好,最大中值滤波算法次之,单一结构元素形态学算法稍差些,高通滤波算法最差。

The key technology in infrared small target detection is background Suppression. In the paper, the principle of the background suppression about the high-pass filter, the max-median filter, the single-structure element morphology and the multi-structural element morphology are analyzed. Further more, the simulation and comparison of four algorithms are conducted in the cloud-clutter background. The simulation results show that the performance of the multi-structural element morphology is the best, the max-median filter the second, the single-structural element morphology the third, and the high-pass filter the worst.