BAYESIAN BUILDING EXTRACTION FROM HIGH RESOLUTION POLARIMETRIC SAR DATA

被引：0
|
作者：
He, Wenju [1 ]
Hellwich, Olaf [1 ]
机构：
[1] Berlin Univ Technol, Berlin, Germany
来源：
2009 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-5 | 2009年
关键词：
Bayesian network; Synthetic aperture radar; Buildings;
D O I：
10.1109/IGARSS.2009.5417398
中图分类号：
P [天文学、地球科学];
学科分类号：
07 ;
摘要：
Building extraction from high resolution Synthetic Aperture Radar (SAR) images can benefit from modelling the interaction of several elements in urban scene. This paper proposes a Bayesian approach to exploit the interplay The appearances of buildings in SAR images are dependent on their orientation angles. We estimate the orientation angles of buildings by supervised learning. The knowledge of other object classes could contribute to the building detection. We extract surface evidence of major object classes The integration of angle estimation, building detection and surface classes provides promising results.
引用
收藏
页码：2782 / 2785
页数：4
相关论文
共 50 条
  • [21] Robustness of features for automatic target discrimination in high resolution polarimetric SAR data
    van den Broek, A
    Dekker, R
    Steeghs, P
    [J]. ALGORITHM FOR SYNTHETIC APERTURE RADAR IMAGERY X, 2003, 5095 : 242 - 253
  • [22] A CASCADED ENSEMBLE CLASSIFIER FOR OBJECT SEGMENTATION IN HIGH RESOLUTION POLARIMETRIC SAR DATA
    Jaeger, Marc
    Reigber, Andreas
    Hellwich, Olaf
    [J]. 2014 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2014, : 1029 - 1032
  • [23] RANDOM FORESTS FOR BUILDING DETECTION IN POLARIMETRIC SAR DATA
    Haensch, Ronny
    Hellwich, Olaf
    [J]. 2010 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2010, : 460 - 463
  • [24] Building Characterization using Polarimetric Tomographic SAR Data
    Guillaso, Stephane
    D'Hondt, Olivier
    Hellwich, Olaf
    [J]. 2013 JOINT URBAN REMOTE SENSING EVENT (JURSE), 2013, : 234 - 237
  • [25] Building extraction from high-resolution SAR imagery based on deep neural networks
    Xu, Zhen
    Wang, Robert
    Zhang, Heng
    Li, Ning
    Zhang, Lei
    [J]. REMOTE SENSING LETTERS, 2017, 8 (09) : 888 - 896
  • [26] A Sparse Reconstruction and Fusion Technique for Building Footprint Extraction From Multi-Aspect High-Resolution SAR Data
    Feng, Di
    Chen, Xi
    Wang, Tianyun
    Chen, Weidong
    [J]. 2015 IEEE INTERNATIONAL RADAR CONFERENCE (RADARCON), 2015, : 420 - 425
  • [27] Development of Building Height Data in Peru from High-Resolution SAR Imagery
    Liu, Wen
    Yamazaki, Fumio
    Adriano, Bruno
    Mas, Erick
    Koshimura, Shunichi
    [J]. JOURNAL OF DISASTER RESEARCH, 2014, 9 (06) : 1042 - 1049
  • [28] Extraction of surface parameters from multi-frequency and polarimetric SAR data
    Allain, S
    Ferro-Famil, L
    Pottier, E
    Hajnsek, I
    [J]. IGARSS 2002: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM AND 24TH CANADIAN SYMPOSIUM ON REMOTE SENSING, VOLS I-VI, PROCEEDINGS: REMOTE SENSING: INTEGRATING OUR VIEW OF THE PLANET, 2002, : 426 - 428
  • [29] Analysis of high resolution polarimetric SAR in urban areas
    Boehm, C
    Schenkel, R
    [J]. 2003 IEEE WORKSHOP ON ADVANCES IN TECHNIQUES FOR ANALYSIS OF REMOTELY SENSED DATA, 2004, : 315 - 319
  • [30] Optimal Parameter Estimation in Heterogeneous Clutter for High-Resolution Polarimetric SAR Data
    Vasile, Gabriel
    Pascal, Frederic
    Ovarlez, Jean-Philippe
    Formont, Pierre
    Gay, Michel
    [J]. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2011, 8 (06) : 1046 - 1050
12345