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Phase unwrapping through least-squares approximation,

机译:通过最小二乘法逼近相位,

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Abstract: The problem of phase unwrapping in elevation estimation using interferometric synthetic aperture radar images is approached through the detection of fringe line positions. The position of each fringe line is estimated by fitting the corresponding enhanced phase transition region with a series of basis functions, the coefficients of which are obtained through weighted least squares estimation. The algorithm is applied to a pair of SEASAT SAR images over mountainous terrain. Cosine functions and linear splines are used as the basis functions, and results show the proposed phase unwrapping algorithm can successfully eliminate global errors and reduce local errors.!25
机译:摘要:通过条纹边缘位置的检测,解决了使用干涉式合成孔径雷达图像进行高程估计中的相位展开问题。通过将相应的增强相变区域与一系列基函数拟合,可以估计每条条纹线的位置,该基函数的系数是通过加权最小二乘估计获得的。该算法被应用于山区的一对SEASAT SAR图像。余弦函数和线性样条函数被用作基础函数,结果表明所提出的相位展开算法可以成功消除全局误差并减少局部误差。25

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