The optimization design and robust test of TVF for moving target detection

Abstract

In order to detect the dim small target in high frame rate image sequences，an optimized temporal processing technique is investigated. Based on the temporal profile models for noise pixel，target pixel and clutter pixel, we formulate the detection in two steps, pre-processed by Max-median filter and temporal variance filter(TVF). In pre-processing step, three spatial-filtering methods are compared. In temporal profile analysis step, the length of time windows for calculating the mean and variance values are chosen after statistical analysis. Finally, six targets embedded into a scene which contains different types of clouds, and set the adjacent scene to one pixel jitter in any random direction. The simulation results show that we can obtain a relative high signal-to-clutter gain in different regions, which satisfies the requirement of target detection algorithm in high frame rate detection system.