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Buildings in High Resolution SAR Images - Identification based on CityGML Data

机译:高分辨率SAR图像中的建筑物-基于CityGML数据的识别

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摘要

Motivated by the distinct appearance of facades in high resolution SAR images with respect to signal incidence angles and polarizations, this paper introduces a way to fuse SAR imagery and 3D GIS (geoinformation system) data (format: CityGML) based on SAR simulation methods. To this end, the known building geometry is used to simulate the extent of building layover for identifying the related image parts in high resolution TerraSAR-X images. The simulated SAR images are generated and geocoded by an automated processing chain which is initialized by the automated parsing of the CityGML dataset and the TerraSAR-X orbit file. Confirming the functionality of the developed interface between simulation and CityGML, first results are presented for an urban scene in the Munich city center in order to discuss future opportunities in the context of change detection applications.
机译:出于高分辨率SAR图像中立面外观与信号入射角和极化有关的动机,本文介绍了一种基于SAR模拟方法的融合SAR图像和3D GIS(地理信息系统)数据(格式:CityGML)的方法。为此,已知的建筑物几何形状用于模拟建筑物停放的程度,以识别高分辨率TerraSAR-X图像中的相关图像部分。仿真的SAR图像由自动处理链生成并进行地理编码,该自动处理链通过对CityGML数据集和TerraSAR-X轨道文件的自动解析进行初始化。确认了仿真和CityGML之间已开发接口的功能,首先提供了慕尼黑市中心城市场景的结果,以讨论变更检测应用程序中的未来机会。

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