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首页> 外文期刊>IEEE Geoscience and Remote Sensing Letters >Improved Method of Video Synthetic Aperture Radar Imaging Algorithm
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Improved Method of Video Synthetic Aperture Radar Imaging Algorithm

机译：视频合成孔径雷达成像算法的改进方法

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摘要

Video synthetic aperture radar (ViSAR) is a novel imaging model to persistently surveil the region of interest by a series of consecutive images in real time. The formation time of one frame image, which can influence the image latency, is one of the key factors to realize ViSAR system. In general, the polar format algorithm (PFA) is preferred for ViSAR imaging. However, the 2-D resampling in the PFA has a large computation burden and is complex to realize in the real-time processing system. It has become the main obstacle to reduce image latency. Therefore, we derive four judgment criteria in this letter. According to these criteria, we propose the improved method of the PFA. Based on this method, the modified PFA can reduce the image formation time while guaranteeing the image quality. Simulation results are presented to validate the effectiveness of the improved method proposed in this letter.
机译：视频合成孔径雷达（ViSAR）是一种新颖的成像模型，可通过一系列连续的实时图像持续监视感兴趣的区域。一帧图像的形成时间会影响图像的等待时间，是实现ViSAR系统的关键因素之一。通常，极性格式算法（PFA）是ViSAR成像的首选。然而，PFA中的二维重采样具有较大的计算负担，并且在实时处理系统中实现起来很复杂。减少图像等待时间已成为主要障碍。因此，我们得出这封信的四个判断标准。根据这些标准，我们提出了PFA的改进方法。基于此方法，修改后的PFA可以在保证图像质量的同时减少图像形成时间。仿真结果表明了本文提出的改进方法的有效性。

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