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Automatic detection of built-up areas in high-resolution polarimetric SAR images

机译:自动检测高分辨率极化SAR图像中的建筑物区域

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摘要

In this paper a method for automatic detection of built-up areas in high-resolution polarimetrc SAR images is presented. A feature-based approach was used. Most of the features are based on statistical properties of built-up areas in SAR images. One feature is based on the isotropic spatial distribution of small uniform regions within built-up areas. Introducing this feature allows one to avoid false alarms due to the presence of edges. The features are fused using Logistic regression. Results of applying the method on an L-Band fully polarised SAR image with a spatial resolution of 1.5 m are shown.
机译:本文提出了一种自动检测高分辨率极化图像SAR图像中积聚区域的方法。使用了基于特征的方法。大多数功能都基于SAR图像中堆积区域的统计属性。一种特征是基于建筑区域内小的均匀区域的各向同性空间分布。引入此功能可以避免由于边缘的存在而引起的误报。使用Logistic回归融合特征。显示了将该方法应用于空间分辨率为1.5 m的L波段全偏振SAR图像的结果。

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