Overview of video synthetic aperture radar moving target detection algorithms

The research on Video Synthetic Aperture Radar (Video SAR) moving target detection algorithms holds significant importance. This article presents an overview of the development of Video SAR imaging technology, encompassing the achievements of various foreign institutions and relevant domestic teams. It elaborates on the Video SAR moving target detection algorithms, which are categorized into three types: GMTI-based, shadow-based (traditional and deep learning), and analyzes the characteristics and limitations of each algorithm. The existing issues are identified as: limited dataset, the need to enhance algorithm performance in complex scenarios, and the requirement for research on lightweight algorithms for small devices. Finally, prospects for future research directions are discussed.