• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>International Geoscience and Remote Sensing Symposium >Unsupervised change detection in built-up areas by multi-temporal polarimetric SAR images
【24h】

Unsupervised change detection in built-up areas by multi-temporal polarimetric SAR images

机译：多时相极化SAR图像在建筑区域无监督变化检测

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Change detection in large urban areas is an application with increasing relevance. In this domain, Polarimetric SAR (PolSAR) 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：在大城市地区进行变化检测是一种具有越来越高的相关性的应用程序。在这一领域，极化SAR（PolSAR）传感器近来受到越来越多的关注。增强的极化信息提供了可以描述多时相变化的有用功能。在这项工作中，我们旨在介绍一种用于无监督更改检测的方法，重点放在依赖极化信息的建筑物区域上。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值的较大差异可能与主要散射机制的变化有关。考虑到建筑面积，这些可能与建筑物相关。根据自动和无监督的方法来检测更改。验证是通过在美国洛杉矶获得的一对UAVSAR图像进行的。初步结果突出了所提出方法的有效性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号