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SPECKLE REDUCTION AND EDGE DETECTION FOR TERRASAR-X SINGLE-LOOK DUAL-POLARIZATION IMAGERY

机译:Terrasar-x单眼双极化图像的散斑减小和边缘检测

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Preliminary work on speckle reduction and edge detection of TerraSAR-X single-look dual-polarization (HH and VV polarizations) spotlight data is reported. A speckle reduction approach is introduced based on a beta-distributed sample squared radius. The performance of the speckle reduction approach was benchmarked against the boxcar filter and assessed with respect to the degree of speckle reduction, radiometric preservation as well as image feature retention. For detecting edges in TerraSAR-X single-look dual-polarization speckled imagery, a constant false alarm rate (CFAR) detector is presented in this paper based on the Wilks' lambda. The applicability of the edge detector for TerraSAR-X single-look single-polarization intensity data is also discussed.
机译:报告了对Terrasar-x单眼双极化(HH和VV偏振)聚光灯数据的散斑减小和边缘检测的初步工作。基于β分布的样本平方半径引入散斑减少方法。散斑减少方法的性能与BoxCar过滤器基准测试,并根据散斑减少程度,辐射测量保存以及图像特征保留评估。为了检测Terrasar-X单视双极化斑点图像的边缘,基于Wilk的Lambda,本文介绍了恒定的误报率(CFAR)检测器。还讨论了边缘检测器的适用性,用于Terrasar-x单眼单极化强度数据。

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