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Synthetic aperture radar speckle reduction for circle mode SAR images

机译:圆形模式SAR图像的合成孔径雷达散斑减少

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Synthetic aperture radar (SAR) images contain a grainy pattern, called speckle, that is a consequence of a coherent imaging system. For fine resolution SAR images speckle can obscure subtle features and reduce visual appeal. Many speckle reduction methods result in a loss of image resolution and reduce visual appeal which can obscure subtle features. Another approach to maintain resolution while reducing speckle is to register and combine multiple images. For persistent surveillance applications it is more efficient for an airborne platform to fly circles around the particular area of interest. In these cases, it would be beneficial to combine multiple circle mode SAR images, however the image registration process is not so straightforward because the layover angle changes in each image. This paper develops a SAR image registration process for combining multiple circle mode SAR images to reduce speckle while preserving resolution. The registration first uses a feature matching algorithm for a coarse rotation and alignment, and then uses a fine registration and warp. Ku band SAR data from a circle mode SAR collection is used to show the effectiveness of the registration and enhanced visual appeal from multi-looking.
机译:合成孔径雷达(SAR)图像包含一种称为斑点的颗粒状图案,即相干成像系统的结果。对于精致的分辨率SAR Images Speckle可以模糊微妙的功能,减少视觉吸引力。许多散斑减少方法导致图像分辨率的损失,降低了可能模糊微妙特征的视觉吸引力。在减少散斑的同时保持分辨率的另一种方法是注册并组合多个图像。对于持久的监视应用,它更有效地为空中平台传播围绕特定感兴趣的领域。在这些情况下,组合多个圆模式SAR图像将是有益的,但是图像配准过程不是如此简单,因为每个图像的解角改变。本文开发了用于组合多个圆模式SAR图像的SAR图像登记过程,以减少散斑,同时保持分辨率。注册首先使用特征匹配算法进行粗旋转和对齐,然后使用精细的注册和翘曲。来自圆形模式SAR集合的KU乐队SAR数据用于展示登记和增强的视觉吸引力的效果。

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