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 B1
页码：309-314
出版社：Copernicus Publications
摘要：Two kinds of method, raster fusion and vector fusion, is proposed for fusion operation by integration of LIDAR point cloud and Ortho aerial photos in this paper. The data set used in the paper and data process for preparation is introduced firstly. In order to complement the raster fusion, the points cloud is interpolated into a raster style by Inverse Distance Weighted(IDW) method using Z and Intensity values. Then the IHS transform and Principal components analysis(PCA) algorithms are used to fuse the data information. For vector fusion, the overlay analysis, which is a technology of spatial analysis, is chosen to integrate the spectral information with points. The quantitative analysis about entropy is conducted to evaluate the fusion results. It shows that the PCA fusion is better than IHS transform
关键词：Fusion; interpolation; IHS transform; Principal Components Analysis; Vector Fusion
