Abstract:

The temporal models for different pixel type are given according to temporal characteristics of the target and background.An improved algorithm for temporal profile detection of infrared dim and small targets on background clutters is presented.Firstly,the background suppression procession algorithm based on temporal variance is adopted to filter stable background from the image.Secondly,the detection is transformed into the detection the positive and negative pulse whose value is approximated to acquire the moving trace of targets.The theoretical analysis and the experimental result prove that this algorithm has a good performance for various background clutters.

Key words: infrared dim and small targets;temporal profile;target detection;temporal variance