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首页> 外文会议>IEEE International Geoscience and Remote Sensing Symposium >UNSUPERVISED CHANGE DETECTION IN BUILT-UP AREAS BY MULTI-TEMPORAL POLARIMETRIC SAR IMAGES
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UNSUPERVISED CHANGE DETECTION IN BUILT-UP AREAS BY MULTI-TEMPORAL POLARIMETRIC SAR IMAGES

机译：多时间偏振SAR图像，内置区域的无监督变化检测

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摘要

Change detection in large urban areas is an application with increasing relevance. In this domain, Polarimetric SAR (Pol-SAR) sensors are receiving more attention recently. The enhanced polarimetric information provides useful features which can describe multi-temporal changes. In this work, we aim at introducing an approach for unsupervised change detection with focus on built-up areas that relies on the polarimetric information. This approach is based on the analysis of the multi-temporal α feature obtained from the Cloude-Pottier eigenvalue/eigenvector decomposition. Large differences in the α values can be associated to changes in the dominant scattering mechanism. These are likely to be associated to buildings when built-up areas are considered. Changes are detected according to an automatic and unsupervised approach. Validation is conducted on a pair of UAVSAR images acquired over Los Angeles, USA. Preliminary results highlight the effectiveness of proposed approach.
机译：大城市地区的变化检测是一个越来越相关的应用。在此域中，Polarimetric SAR（POL-SAR）传感器最近受到更多关注。增强的偏振信息提供了有用的特征，可以描述多时间变化。在这项工作中，我们的目的是引入一种无监督变化检测方法，重点是依赖于偏振信息的内置区域。该方法基于对从Cloude-Pottier特征值/特征向量分解获得的多时间α特征的分析。 α值的大差异可以与显性散射机制的变化相关联。当考虑内置区域时，这些可能与建筑物相关联。根据自动和无监督的方法检测更改。验证是在美国洛杉矶获得的一对UAVSAR图像上进行的。初步结果突出了所提出的方法的有效性。

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