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首页> 外文期刊>Geoscience and Remote Sensing, IEEE Transactions on >Building Change Detection in Multitemporal Very High Resolution SAR Images
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Building Change Detection in Multitemporal Very High Resolution SAR Images

机译：多时间超高分辨率SAR图像中的建筑物变化检测

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摘要

The increasing availability of very high resolution (VHR) images regularly acquired over urban areas opens new attractive opportunities for monitoring human settlements at the level of individual buildings. This paper presents a novel approach to building change detection in multitemporal VHR synthetic aperture radar (SAR) images. The proposed approach is based on two concepts: 1) the extraction of information on changes associated with increase and decrease of backscattering at the optimal building scale and 2) the exploitation of the expected backscattering properties of buildings to detect either new or fully demolished buildings. Each detected change is associated with a grade of reliability. The approach is validated on the following: 1) COSMO-SkyMed multitemporal spotlight images acquired in 2009 on the city of L'Aquila (Italy) before and after the earthquake that hit the region and 2) TerraSAR-X multitemporal spotlight images acquired on the urban area of the city of Trento (Italy). Results demonstrate that the proposed approach allows an accurate identification of new and demolished buildings while presents a low false-alarm rate and a high reliability.
机译：在城市地区定期获取的高分辨率（VHR）图像的可用性不断提高，为在单个建筑物级别监视人类住区提供了新的有吸引力的机会。本文提出了一种在多时相VHR合成孔径雷达（SAR）图像中进行建筑物变化检测的新颖方法。所提出的方法基于两个概念：1）在最佳建筑物规模上提取与反向散射的增加和减少相关的变化信息； 2）利用建筑物的预期反向散射特性来检测新建筑物或已完全拆除的建筑物。每个检测到的变化都与可靠性等级相关。该方法在以下方面得到了验证：1）地震发生前后，2009年在意大利拉奎拉市（La'Aquila）上获得的COSMO-SkyMed多时相聚光图像，以及2）在地震发生前获得的TerraSAR-X多时相聚光图像特伦托市（意大利）的市区。结果表明，所提出的方法可以准确识别新建筑物和拆除建筑物，同时具有较低的误报率和高可靠性。

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