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  • 标题:Registration of Spatial data Based on PCA
  • 本地全文:下载
  • 作者:Shang Tao ; Wang Lili
  • 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:2008
  • 卷号:XXXVII Part B2
  • 页码:681-684
  • 出版社:Copernicus Publications
  • 摘要:Registration of spatial data based on PCA is advanced in the paper. The principle is that principal components of spatial data set are changed with the coordinate system. For two spatial data sets of a certain object, we can estimate the coordinate system transformation matrix using the spatial transformation matrix between the corresponding principal components. The matrix of principal component is built up using the eigenvector and center of spatial data set. After obtaining the initial value of transformation matrix and transforming the spatial data, the transformation matrix can be obtained by using optimization algorithm. It is clearly the comparability between data sets is relative high. The experiment show the way is effective in obtaining the initial value of coordinate system in spatial data registration
  • 关键词:Registration; PCA; Coordinate Transformation; Spatial Data
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