Vasile Gabriel, Trouvé Emmanuel, Ciuc Mihai, Buzuloiu Vasile
Laboratoire d'Informatique, Système, Traitement de l'Information et de la Connaissance, Ecole Supérieure d'Ingénieurs d'Annecy Université de Savoie, Annecy, France.
J Opt Soc Am A Opt Image Sci Vis. 2004 Aug;21(8):1455-64. doi: 10.1364/josaa.21.001455.
A new method for filtering the coherence map issued from synthetic aperture radar (SAR) interferometric data is presented. For each pixel of the interferogram, an adaptive neighborhood is determined by a region-growing technique driven by the information provided by the amplitude images. Then pixels in the derived adaptive neighborhood are complex averaged to yield the filtered value of the coherence, after a phase-compensation step is performed. An extension of the algorithm is proposed for polarimetric interferometric SAR images. The proposed method has been applied to both European Remote Sensing (ERS) satellite SAR images and airborne high-resolution polarimetric interferometric SAR images. Both subjective and objective performance analysis, including coherence edge detection, shows that the proposed method provides better results than the standard phase-compensated fixed multilook filter and the Lee adaptive coherence filter.
提出了一种用于对合成孔径雷达（SAR）干涉测量数据生成的相干图进行滤波的新方法。对于干涉图的每个像素，通过由幅度图像提供的信息驱动的区域生长技术确定一个自适应邻域。然后，在执行相位补偿步骤之后，对导出的自适应邻域中的像素进行复平均，以产生相干性的滤波值。针对极化干涉SAR图像提出了该算法的一种扩展。所提出的方法已应用于欧洲遥感（ERS）卫星SAR图像和机载高分辨率极化干涉SAR图像。包括相干边缘检测在内的主观和客观性能分析均表明，所提出的方法比标准的相位补偿固定多视滤波器和李自适应相干滤波器提供了更好的结果。
