Data Fusion with Integration of Airborne Laser Scanning Data and Ortho-aerial Photos

نویسندگان

  • Hangbin Wu
  • Chun Liu
  • Xinhua Zhou
چکیده

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.

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تاریخ انتشار 2008