Simulation of Data Fusion Model of Power Grid Geographic Information System Based on Image Processing Algorithm

Because the influence of GIS (Geographic Information System) is mostly from satellite images, and the images collected by satellite sensor system are restricted and influenced by the platform, the position and angle of the sun and other conditions, it will show some phenomena such as fuzziness, distortion, distortion and speckle noise, which will reduce the image quality to a certain extent, so the application of image processing technology is essential. Based on this, this paper designs a GIS data fusion model of power grid based on image processing algorithm according to the differences of digital images, spaces and general attribute structures. Using binary segmentation method can complete image segmentation in power grid GIS platform. ICP (Iterative Closest Point) algorithm is used to match DEM (Digital Elevation Model) with 3D GIS. Through repeated iteration, the transformation matrix gradually approaches the real value, thus realizing registration. The research results show that the results can be obtained directly by using DEM and GIS data, and there is no frequent and time-consuming conversion, so the data fusion method can be used to realize the overall integration of GIS and DEM. When DEM data is registered with 3D GIS, the rotation matrix and translation vector obtained from registration can be used to realize the updating of 3D GIS by DEM, which proves the feasibility of this method.