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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歧义解析器

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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:多普勒咪差数(DAN)是合成孔径雷达(SAR)成像中的重要参数。 错误的DAN将影响图像质量较低的图像信噪比(SNR)和系统脉冲响应函数的劣化。 本文提出了一种基于对比度最大化的新型多普勒模糊透析器。 新算法采用候选DANS使线性范围小区迁移校正(RCMC)进行范围压缩数据,并检查通过方位角压缩获得的SAR图像的质量。 满足最大化图像对比度的要求的估计值将被视为最终估计结果。 与传统方法相比,新估计器在低场景和高场景对比度的情况下具有高精度。 进行了RADARSAT-1实际数据的实验,以证明所提出的方法的性能。

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