检测SAR图像中径向慢速动目标

该文提出了一种从SAR图像中检测径向匀速动目标的方法，将SAR图像信号在频域分为正频部分和负频部分，静止背景的正负频分布对称，而径向动目标的多普勒质心与静止背景相比有一频移，信号在正负频域能量分布不对称。将分开的正负频域信号分别回到时域成像，计算这两幅复图像对应位置的模差绝对值，可对消静止背景，突显出径向动目标。仿真数据表明本算法有效。

Detecting Radial Moving Ground Targets from SAR Image

This paper is proposes to detecting radial moving ground targets from SAR image. Radical moving targets have focused image just as fixed ground clutters. The algorithm for detection and parameter estimation of radical targets has three steps. The first step isolates the SAR image frequency spectrum to positive band and negative band, then uses IFFT transform to reform two images. The second step subtracts the two-look image amplitude. It offers an approach of suppressing ground clutters and simultaneously indicating the true location of the slant-range moving target image. Finally the radical ground speed of the moving target is carried out by the estimating its Doppler centroid. This combined method is implemented by using real clutter data combined with simulated moving targets. Typical computer results are presented, which illustrate this technique's availability.