COMBINING GIS AND INSAR DATA FOR 3D BUILDING RECONSTRUCTION

被引:7
作者
Thiele, Antje [1 ,2 ]
Hinz, Stefan [1 ]
Cadario, Erich [2 ]
机构
[1] Karlsruhe Inst Technol KIT, Inst Photogrammetry & Remote Sensing IPF, Karlsruhe, Germany
[2] Fraunhofer Inst Optron, Syst Technol & Image Exploitat IOSB, Karlsruhe, Germany
来源
2010 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM | 2010年
关键词
SAR Interferometry; GIS; Building Reconstruction; Urban Monitoring; RESOLUTION SAR IMAGES;
D O I
10.1109/IGARSS.2010.5654387
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
Today space-borne high resolution SAR sensors (e.g., TerraSAR-X, TanDEM-X, SAR-Lupe or Cosmo-SkyMed) provide SAR images up to spatial resolutions of 1-3m and even better in spotlight modes. Hence, one major issue of these missions is the development of methods to automatically derive detailed cartographic information from their data. Especially, the analysis of rural and urban areas is on demand in case of disasters (e.g., earthquakes), where active remote sensing systems are highly attractive. Here, an important issue is the development of automatic methods for damage assessment or change detection, in general. For that it is advisable to combine existing GIS data with current SAR data. In this paper an approach for 3D building reconstruction is presented, based on information fusion by utilizing GIS and InSAR data. Thereby, the GIS data are providing the 2D building footprints and the acquired InSAR data the height information. An InSAR simulation step and the subsequent assessment between the real and simulated InSAR phase data enables the extraction of the current building shape.
引用
收藏
页码:2418 / 2421
页数:4
相关论文
共 50 条
  • [21] Semantic-guided 3D building reconstruction from triangle meshes
    Wang, Senyuan
    Liu, Xinyi
    Zhang, Yongjun
    Li, Jonathan
    Zou, Siyuan
    Wu, Jipeng
    Tao, Chuang
    Liu, Quan
    Cai, Guorong
    INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2023, 119
  • [22] Overview on 3D GIS technology
    Li, Mengwen
    Zhao, Caisheng
    Ye, Huishou
    Cheng, Lan
    Zhen, Rongfen
    Chen, Li
    Wang, Lili
    Mineral Deposit Research: Meeting the Challenge, Vol 3, 2005, : 164 - 165
  • [23] RECONSTRUCTION OF KYOTO OF THE EDO ERA BASED ON ARTS AND HISTORICAL DOCUMENTS: 3D URBAN MODEL BASED ON HISTORICAL GIS DATA
    Isoda, Yuzuru
    Tsukamoto, Akihiro
    Kosaka, Yoshihiro
    Okumura, Takuya
    Sawai, Masakazu
    Yano, Keiji
    Nakata, Susumu
    Tanaka, Satoshi
    INTERNATIONAL JOURNAL OF HUMANITIES AND ARTS COMPUTING-A JOURNAL OF DIGITAL HUMANITIES, 2009, 3 (1-2): : 21 - 38
  • [24] Integration, Processing and Dissemination of LiDAR Data in a 3D Web-GIS
    Kulawiak, Marek
    Kulawiak, Marcin
    Lubniewski, Zbigniew
    ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2019, 8 (03)
  • [25] A Progressive Transmission of Spatial Data Method for 2D/3D Integrated GIS
    Cheng, Junlai
    Song, Guanfu
    Zhang, Xiaohu
    Luo, Feixiong
    Wang, Shaohua
    2010 18TH INTERNATIONAL CONFERENCE ON GEOINFORMATICS, 2010,
  • [26] Combining system dynamics model, GIS and 3D visualization in sustainability assessment of urban residential development
    Xu, Zhao
    Coors, Volker
    BUILDING AND ENVIRONMENT, 2012, 47 : 272 - 287
  • [27] Stochastic geometrical model and Monte Carlo optimization methods for building reconstruction from InSAR data
    Zhang, Yue
    Sun, Xian
    Thiele, Antje
    Hinz, Stefan
    ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2015, 108 : 49 - 61
  • [28] A COMPREHENSIVE OVERVIEW OF A CORE OF 3D GIS
    Jedlicka, Karel
    7TH INTERNATIONAL CONFERENCE ON CARTOGRAPHY AND GIS, VOLS 1 AND 2, 2018, : 464 - 472
  • [29] 3D models and visualization in GIS environment
    Marincic, Dalibor
    GEODETSKI LIST, 2007, 61 (04) : 273 - 282
  • [30] HBIM IN A SEMANTIC 3D GIS DATABASE
    Matrone, F.
    Colucci, E.
    De Ruvo, V
    Lingua, A.
    Spano, A.
    2ND INTERNATIONAL CONFERENCE OF GEOMATICS AND RESTORATION (GEORES 2019), 2019, 42-2 (W11): : 857 - 865