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A novel Doppler ambiguity resolver based on contrast maximization

机译:基于对比度最大化的新型多普勒模糊度求解器

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Doppler ambiguity number (DAN) is an important parameter in synthetic aperture radar (SAR) imaging. Erroneous DAN will affect the image quality with lower image signal-to-noise ratio (SNR) and degradation in the system impulse response function. In this paper, a novel Doppler ambiguity resolver based on contrast maximization is proposed. The new algorithm employs candidate DANs to make linear range cell migration correction (RCMC) to the range-compressed data, and check the quality of SAR image obtained by azimuth compression. The estimation value which meets the requirement of maximizing the image contrast will be treated as the final estimation result. Comparing with conventional methods, the new estimator has high precision in the case of both low and high scene contrasts. Experiments with RADARSAT-1 real data are carried out to demonstrate the performance of the proposed approach.
机译:多普勒模糊度数(DAN)是合成孔径雷达(SAR)成像中的重要参数。错误的DAN将以较低的图像信噪比(SNR)影响图像质量,并降低系统脉冲响应功能。本文提出了一种基于对比度最大化的新型多普勒模糊度求解器。新算法采用候选DAN对距离压缩数据进行线性距离像元迁移校正(RCMC),并检查通过方位压缩获得的SAR图像的质量。满足最大化图像对比度要求的估计值将被视为最终估计结果。与传统方法相比,新的估算器在低和高场景对比度的情况下都具有很高的精度。用RADARSAT-1真实数据进行了实验,以证明所提出方法的性能。

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