In order to mitigate speckle noise in synthetic aperture radar(SAR)images and enhance the accuracy of SAR tomography,non-local means(NL-means)filtering has been proven to be an effective method for improving the quali...In order to mitigate speckle noise in synthetic aperture radar(SAR)images and enhance the accuracy of SAR tomography,non-local means(NL-means)filtering has been proven to be an effective method for improving the quality of SAR interferograms.Apart from considerations like noise type and the definition of similarity,the size and shape of filtering windows are critical factors influencing the efficacy of NL-means filtering,yet there has been limited research on this aspect.This paper introduces an enhanced NL-means filtering method based on adaptive windows,allowing for the automatic adjustment of filtering window size according to the amplitude information of the SAR interferogram.Simultaneously,a directional window is incorporated to align SAR interferograms,achieving the dual objective of preserving filtering standards and retaining detailed information.Experimental results on interferogram filtering and tomography,based on TerraSAR-X data,demonstrate that the proposed method effectively reduces phase noise while maintaining texture accuracy,thereby improving tomography quality.展开更多
基于非均匀立体构型多基线SAR的层析成像主要存在两个难题,一是混合基线引起的二次相位误差问题,二是非均匀基线引起的散焦问题。针对二次相位误差问题,该文首次分析并推导了多基线SAR各方向基线对不同位置散射点干涉相位的影响,并根据...基于非均匀立体构型多基线SAR的层析成像主要存在两个难题,一是混合基线引起的二次相位误差问题,二是非均匀基线引起的散焦问题。针对二次相位误差问题,该文首次分析并推导了多基线SAR各方向基线对不同位置散射点干涉相位的影响,并根据它们结构的不同,分别采用相位补偿和变量代换技术进行了修正;针对非均匀基线引起的散焦问题,该文提出了基于信噪比加权的频域最小二乘幅度相位估计(Amplitude and Phase EStimation,APES)算法,实现了非均匀基线情况下的高度维聚焦。仿真数据和ALOS星载SAR实测数据的实验结果验证了该文算法的有效性。展开更多
基金supported in part by the National Natural Science Foundation of China(Nos.62201051,62101039)in part by the Shandong Excellent Young Scientists Fund Program(Overseas)in part by the National Key Research and Development Program of China(No.SQ2022YFB3900055).
文摘In order to mitigate speckle noise in synthetic aperture radar(SAR)images and enhance the accuracy of SAR tomography,non-local means(NL-means)filtering has been proven to be an effective method for improving the quality of SAR interferograms.Apart from considerations like noise type and the definition of similarity,the size and shape of filtering windows are critical factors influencing the efficacy of NL-means filtering,yet there has been limited research on this aspect.This paper introduces an enhanced NL-means filtering method based on adaptive windows,allowing for the automatic adjustment of filtering window size according to the amplitude information of the SAR interferogram.Simultaneously,a directional window is incorporated to align SAR interferograms,achieving the dual objective of preserving filtering standards and retaining detailed information.Experimental results on interferogram filtering and tomography,based on TerraSAR-X data,demonstrate that the proposed method effectively reduces phase noise while maintaining texture accuracy,thereby improving tomography quality.
文摘基于非均匀立体构型多基线SAR的层析成像主要存在两个难题,一是混合基线引起的二次相位误差问题,二是非均匀基线引起的散焦问题。针对二次相位误差问题,该文首次分析并推导了多基线SAR各方向基线对不同位置散射点干涉相位的影响,并根据它们结构的不同,分别采用相位补偿和变量代换技术进行了修正;针对非均匀基线引起的散焦问题,该文提出了基于信噪比加权的频域最小二乘幅度相位估计(Amplitude and Phase EStimation,APES)算法,实现了非均匀基线情况下的高度维聚焦。仿真数据和ALOS星载SAR实测数据的实验结果验证了该文算法的有效性。
