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Superpixels for improved structure and terrain classification using multiple synthetic aperture radar image products

机译:使用多个合成孔径雷达图像产品的超像素可改善结构和地形分类

摘要

Various embodiments presented herein relate to assigning labels to segments of a synthetic aperture radar (SAR) image, where the segments are based upon a speckle-reduced SAR image product. A plurality of SAR images of a scene are co-registered to form a registered stack of SAR images. A speckle-reduced SAR image product is generated based upon at least one registered SAR image in the registered stack of SAR images. The speckle-reduced SAR image product is segmented into a plurality of superpixels, and boundaries of the superpixels are applied to the at least one registered SAR image to form a segmented SAR image. A segment of the SAR image is then labeled as including or not including a feature, wherein the label is assigned based upon values of pixels in the segment.
机译:本文呈现的各种实施例涉及将标签分配给合成孔径雷达(SAR)图像的片段,其中所述片段基于散斑减少的SAR图像产物。场景的多个SAR图像被共同配准以形成SAR图像的配准堆栈。基于已注册的SAR图像堆栈中的至少一个已注册的SAR图像,生成了减少斑点的SAR图像产品。减少斑点的SAR图像产物被分割成多个超像素,并且超像素的边界被施加到至少一个配准的SAR图像上以形成分割的SAR图像。然后将SAR图像的片段标记为包括或不包括特征,其中,基于片段中的像素值来分配标签。

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