SCENE SCATTERING DESCRIPTOR FOR URBAN CLASSIFICATION IN VERY HIGH RESOLUTION SAR IMAGES

被引:2
作者
Ding, Yongke [1 ]
Qiu, Lizhong [1 ]
Yang, Pinglv [2 ]
Zhou, Zeming [2 ]
Li, Yuanxiang [1 ]
Yu, Wenxian [1 ]
机构
[1] Shanghai Jiao Tong Univ, Dept Elect Engn, Shanghai 200030, Peoples R China
[2] PLA Univ Sci & Technol, Inst Meteorol & Oceanog, Nanjing, Peoples R China
来源
2013 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) | 2013年
基金
中国国家自然科学基金;
关键词
SAR; urban classification; backscattering pattern; scene-based mapping; land-use/land-cover (LULC);
D O I
10.1109/IGARSS.2013.6723205
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
A novel urban land-use/land-cover classification framework for very high resolution SAR images which combines scene description and scene-based mapping is presented in this paper. We use textural features for scene region description, including the traditional GLCM feature and the new scene scattering descriptor. The scene scattering descriptor is proposed in this paper to model the scattering behavior and context appearance of urban scenes. This work intends to implement an efficient description of urban land covers from the urban backscattering behavior perspective and apply it to scene-based mapping of urban areas. The framework demonstrates good performance in both accuracy and efficiency for urban scene interpretation of very high resolution SAR images.
引用
收藏
页码:2015 / 2018
页数:4
相关论文
共 8 条
  • [1] Impact of Urban Land-Cover Classification on Groundwater Recharge Uncertainty
    Ampe, Eva M.
    Vanhamel, Iris
    Salvadore, Elga
    Dams, Jef
    Bashir, Imtiaz
    Demarchi, Luca
    Chan, Jonathan Cheung-Wai
    Sahli, Hichem
    Canters, Frank
    Batelaan, Okke
    [J]. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2012, 5 (06) : 1859 - 1867
  • [2] LIBSVM: A Library for Support Vector Machines
    Chang, Chih-Chung
    Lin, Chih-Jen
    [J]. ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY, 2011, 2 (03)
  • [3] SUPPORT-VECTOR NETWORKS
    CORTES, C
    VAPNIK, V
    [J]. MACHINE LEARNING, 1995, 20 (03) : 273 - 297
  • [4] SAR Data Classification of Urban Areas by Means of Segmentation Techniques and Ancillary Optical Data
    Gamba, Paolo
    Aldrighi, Massimiliano
    [J]. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2012, 5 (04) : 1140 - 1148
  • [5] Hall-Beyer M., 2007, GLCM TUTORIAL VERSIO
  • [6] TEXTURAL FEATURES FOR IMAGE CLASSIFICATION
    HARALICK, RM
    SHANMUGAM, K
    DINSTEIN, I
    [J]. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS, 1973, SMC3 (06): : 610 - 621
  • [7] Contextual Descriptors for Scene Classes in Very High Resolution SAR Images
    Popescu, Anca A.
    Gavat, Inge
    Datcu, Mihai
    [J]. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2012, 9 (01) : 80 - 84
  • [8] A fusion scheme for joint retrieval of urban height map and classification from high-resolution interferometric SAR images
    Tison, Celine
    Tupin, Florence
    Maitre, Henri
    [J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2007, 45 (02): : 496 - 505