视频合成孔径雷达ViSAR（Video Synthetic Aperture Radar）成像模式与传统SAR成像模式不同，此模式需要持续监测目标区域。通过子孔径划分的方法将目标区域的回波划分孔径，然后针对每一个划分后的子孔径进行单独成像和配准，最后把每一帧图像进行处理形成视频，利用序列图像形成的视频去提取目标的运动信息。视频SAR独特的高帧率成像处理使其对运动目标的检测具有很大的优势。提供了一种基于极坐标算法PFA（Polar Format Algorithm）的视频SAR运动目标成像的方法，视频SAR成像帧率可达到每秒5帧。
Abstract:
The imaging mode of video synthetic aperture radar (ViSAR) is different from SAR imaging mode, which requires continuous monitoring of target area. The echo of target area is divided into sub-aperture and ench partition is imaged and registered separately. Finally, the images of each frame are processed to form a video and the motion information of the target can be extracted from the sequence images. The unique high frame rate imaging processing of ViSAR makes it more suitable for detecting moving targets. This paper provides a moving target detection algorithm based on polar format algorithm (PFA) for ViSAR. The frame rate of ViSAR imaging can reach 5 frames per second.
