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在干涉合成孔径雷达 ( In SAR)成像中 ,由于相位噪声的影响 ,在相位展开前应该对干涉相位图作滤波处理 ,以保证相位展开后结果的正确性 ,获得真实的数字高度模型。对于 In SAR干涉相位图的滤波 ,在滤除相位噪声的同时 ,应确保有用跳变信息不被滤除。本文基于形态学原理 ,结合数据的量化处理 ,提出了一种新的 In SAR干涉相位图的滤波算法。实验结果表明 ,该滤波算法的效果优于 Candeias等人提出 In SAR干涉相位图的形态学滤波算法 ,且运算速度更快。
In interferometric synthetic aperture radar (In SAR) imaging, due to the influence of phase noise, the interferometric phase image should be filtered before the phase unwrapping to ensure the correctness of phase unwrapping results and obtain the real digital elevation model. Filtering of the In SAR interferometric phase map should ensure that useful hop information is not filtered out while phase noise is being filtered out. In this paper, based on the morphological principle, combined with the quantitative data processing, a new In SAR interferometric phase image filtering algorithm is proposed. The experimental results show that the proposed filtering algorithm is superior to the morphological filtering algorithm proposed by Candeias et al. For the In SAR interferometric phase image, and the computational speed is faster.