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Buildings in High Resolution Sar Images - Identification Based on Citygml Data : Volume Ii-3/W4, Issue 1 (11/03/2015)

By Auer, S.

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Book Id: WPLBN0004013878
Format Type: PDF Article :
File Size: Pages 8
Reproduction Date: 2015

Title: Buildings in High Resolution Sar Images - Identification Based on Citygml Data : Volume Ii-3/W4, Issue 1 (11/03/2015)  
Author: Auer, S.
Volume: Vol. II-3/W4, Issue 1
Language: English
Subject: Science, Isprs, Annals
Collections: Periodicals: Journal and Magazine Collection, Copernicus GmbH
Historic
Publication Date:
2015
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications

Citation

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Donaubauer, A., & Auer, S. (2015). Buildings in High Resolution Sar Images - Identification Based on Citygml Data : Volume Ii-3/W4, Issue 1 (11/03/2015). Retrieved from http://community.worldlibrary.net/


Description
Description: Remote Sensing Technology Institute, German Aerospace Center (DLR), 82234 Oberpfaffenhofen, Germany. 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.

Summary
BUILDINGS IN HIGH RESOLUTION SAR IMAGES - IDENTIFICATION BASED ON CITYGML DATA

 

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