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An Adaptive Scattering-Mechanism-Based Filtering for Multitemporal Pol(In)SAR Data

机译:基于自适应散射机制的多时相Pol(In)SAR数据滤波

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This paper presents a new adaptive filtering method for multi-temporal Pol(In)SAR images' denoising. Based on the polarimetric scattering mechanism of the given PolSAR data, the filtering first classifies all pixels into persistent scatterer pixels (PS pixels) or distributed scatterer pixels (DS pixels). Then they are separately processed according to its nature. The proposed filtering method has been tested on 31 full polarization Radarsat-2 SAR images of Barcelona Airport area. The results show that the speckle has been well reduced while details have been preserved, which indicates the effectiveness of this filtering approach.
机译:提出了一种新的多时相Pol(In)SAR图像去噪自适应滤波方法。基于给定PolSAR数据的极化散射机制,过滤首先将所有像素分为持久散射像素(PS像素)或分布式散射像素(DS像素)。然后根据其性质分别对其进行处理。在巴塞罗那机场地区的31张全极化Radarsat-2 SAR图像上对提出的滤波方法进行了测试。结果表明,在保留细节的同时,斑点得到了很好的减少,这表明了这种滤波方法的有效性。

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