基于时域廓线的云杂波背景下红外弱小目标检测

根据目标和背景时域特性,建立了目标、云杂波边缘、干净天空背景以及云内部四种像素点的时域模型.并以这四种时域模型为基础,提出了一种云杂波背景下基于时域廓线的弱小目标的检测方法.检测前利用最大中值滤波器进行空域处理,去除了大部分云边缘虚警点.理论分析和实验结果表明,该算法能有效检测出云杂波背景下的小目标.

Infrared Dim Small Target Detection Based on Temporal Profile under Cloud Clutters Background

Temporal models of target, cloud edges, clean sky and cloud are established according to temporal characteristics of target and background. Then a dim small target detection algorithm, based on temporal profile under cloud clutters background, is proposed from four types of temporal models. Largest median value filter is applied to eliminate most of cloud edges points in spatial domain before detection. The theoretical analysis and the experimental result indicate validity of the algorithm in detecting target under cloud clutters background.