• DocumentCode
    143141
  • Title

    Building heights estimation using ZY3 data — A case study of Shanghai, China

  • Author

    Xiaoqin Wang ; Xiameng Yu ; Feilong Ling

  • Author_Institution
    Spatial Inf. Res. Center of Fujian Province, Fuzhou Univ., Fuzhou, China
  • fYear
    2014
  • fDate
    13-18 July 2014
  • Firstpage
    1749
  • Lastpage
    1752
  • Abstract
    The building heights and the heights´ distribution of a city are important aspects of urban remote sensing researches. Building heights are estimation from the shadow on Chinese No.3 resource satellite image (ZY3) in Pudong area of Shanghai, China. The morphological building/shadow indexes (MBI and MSI) derived from remotely sensed data and object-based information extraction methods are used to classify the building and its shadow. Based on the formula derived from the relationship among the sun, the satellite and the building, building heights are calculated. The most of the calculated building heights are reliable. Absolute errors below 3m are about 67.5%, the average relative error is 3.7%, the errors below 5% are about 73.7%. The proposed method could well achieve the building extraction and building heights estimation in high-resolution images.
  • Keywords
    feature extraction; geophysical image processing; geophysical techniques; remote sensing; CHINA; Chinese resource satellite image; Pudong area; SHANGHAI; ZY3 data; building heights estimation; heights distribution; morphological building; object-based information extraction methods; remotely sensed data; shadow indexes; urban remote sensing; Buildings; Estimation; Indexes; Measurement uncertainty; Remote sensing; Satellites; Sun; Building height; ZY3 data; object-oriented method; shadow;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
  • Conference_Location
    Quebec City, QC
  • Type

    conf

  • DOI
    10.1109/IGARSS.2014.6946790
  • Filename
    6946790