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  • 标题:MODELING MIDDLE URBAN POPULATION DENSITY WITH REMOTE SENSING IMAGERY
  • 本地全文:下载
  • 作者:Anmin Lu ; Cheng-ming Li ; Zong-jian Lin
  • 期刊名称:ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
  • 印刷版ISSN:2194-9042
  • 电子版ISSN:2194-9050
  • 出版年度:2002
  • 卷号:XXXIV Part 4
  • 出版社:Copernicus Publications
  • 摘要:A new land use density method is proposed based on least square principle after analyzing usual remote estimation methods. The main idea is: First, habitation types is defined in the study region; and the boundaries of every habitation types are lined out based on remote sensing imagery and the area of every habitation types are calculated; then mathematical models according to the population data of every sub-region are established; the best population density estimation of every habitation types are calculated with the least square principle when sub-regions number (m) is more than the number (n) of habitation types. The population estimation of any new region can be calculated since the population density of every habitation types are known as well
  • 关键词:population density; least square principle; remote sensing imagery
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