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Vessel Refocusing and Velocity Estimation on SAR Imagery Using the Fractional Fourier Transform

机译:使用分数阶傅里叶变换的SAR图像上的船只重新聚焦和速度估计

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This paper studies the effects of stationary-based processing of moving ship signatures in synthetic aperture radar (SAR) imagery and introduces a methodology to estimate and compensate for them. SAR imaging of moving targets usually results in residual chirps in the azimuthal SLC processed signal. The fractional Fourier transform (FrFT) makes it possible to represent the SAR signal in a rotated joint time-frequency plane and performs optimal processing and analysis of these residual chirp signals. The along-track defocus can thus be compensated for and the target's azimuthal speed estimated. The impact of higher order motion terms (e.g., acceleration) has been also considered. Experiments were conducted on a large number of ship signatures extracted from Radarsat-2 Multi Look Fine and Ultra Fine SAR images. An intercomparison with a standard Doppler Sublook Decomposition Method (SDM) is carried out, as well as a complete performance analysis with AIS data as ground truth.
机译:本文研究了合成孔径雷达(SAR)图像中基于静止的运动船信号处理的效果,并介绍了一种估计和补偿方法。运动目标的SAR成像通常会在SLC方位角处理后的信号中产生残留chi。分数阶傅立叶变换(FrFT)使得可以在旋转的联合时频平面中表示SAR信号,并对这些残余线性调频信号进行最佳处理和分析。因此,可以补偿沿轨道的散焦,并估计目标的方位角速度。还考虑了高阶运动项(例如,加速度)的影响。对从Radarsat-2 Multi Look Fine和Ultra Fine SAR图像中提取的大量舰船签名进行了实验。进行了与标准多普勒子像分解方法(SDM)的比较,以及使用AIS数据作为基本事实的完整性能分析。

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