Height estimation for high-rise buildings based on InSAR analysis

Wen Liu, Kentaroh Suzuki, F. Yamazaki
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引用次数: 8

Abstract

Owing to the remarkable improvements that have been made in radar sensors, it becomes possible to obtain the information for a single structure from high-resolution SAR images. In our previous research, a method for detecting the heights of low-rise buildings automatically was proposed using 2D GIS data and a single high-resolution TerraSAR-X intensity image. However, this method is difficult to apply for high-rise buildings due to surface/material conditions of their exterior walls. In this study, a new method was developed for estimating the heights of high-rise buildings based on the results from an Interferometric SAR (InSAR) analysis. The characteristics of phases in the InSAR result were investigated and used for extracting the potential layover areas of target buildings. Then, the heights were estimated according to their layover lengths. The developed method was tested on two TerraSAR-X images for San Francisco, USA, in the HighSpot mode. Comparing the result with Lidar data, the detected heights were found to be reasonable.
基于InSAR分析的高层建筑高度估计
由于雷达传感器的显著改进,从高分辨率SAR图像中获得单一结构的信息成为可能。在我们之前的研究中,我们提出了一种利用二维GIS数据和单个高分辨率TerraSAR-X强度图像自动检测低层建筑高度的方法。然而,由于高层建筑外墙的表面/材料条件,这种方法很难适用于高层建筑。本文提出了一种基于干涉SAR (InSAR)分析结果估算高层建筑高度的新方法。研究了InSAR结果的相位特征,并利用相位特征提取目标建筑物的潜在停留区域。然后,根据他们的停留长度估计高度。该方法在美国旧金山的两幅TerraSAR-X图像上进行了HighSpot模式的测试。将结果与激光雷达数据进行比较,发现探测高度是合理的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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