Shadow tracking for airborne terahertz video-SAR based on SORT algorithm

Abstract

Equipped with ability of high-resolution and high-speed imaging in all weather conditions, airborne terahertz synthetic aperture radar received great attention at home and abroad. Because of the high imaging speed of terahertz synthetic aperture radar, ground moving targets can create well-positioned shadows in the image. That property endows terahertz video-SAR ability to detect and associate targets through shadow features. However, lack of enough researches on moving targets detection and tracking limited functions of terahertz video-SAR presently. In this paper, start from spotlight SAR images, we completed image registration and detected moving targets through background subtraction. Based on detection results, we tracked targets through simple online and real-time tracking(SORT) algorithm. We hope this work can help expand application of terahertz video-SAR.