Transformation system of DEM with aircraft photographing image from DEM by using AI

摘要

The present invention distinguishes surface coverings including forests, buildings, lakes, roads, rivers, etc. from a digital surface model (DSM) in which coordinate information is input to each part of a ground image secured by aerial photography, with artificial intelligence (AI). It relates to a system for converting a digital elevation model of an aerial photographic numerical surface model using artificial intelligence that converts to a topographic map (numerical elevation model, DEM) by a minimum filtering operation. An aerial photographing image recording unit that receives digital ground image data in which coordinate information of the ground image data of a frame unit and the GPS data of the aerial photographed position are linked and records it in an area allocated by a corresponding control signal; It connects to the aerial photographing image recorder, searches and extracts recorded digital ground image data by frame, and outputs and operates the corresponding control signals to all functional units constituting the digital elevation model conversion system using the built-in operating program and operating data. Numerical elevation model control unit for monitoring the state; A numerical surface model generation unit for converting and generating digital surface model data by linking frame-by-frame digital ground image data and GPS coordinate information of the input position reference point according to the corresponding control signal of the numerical elevation model control unit, and recording the data in the allocated area; By analyzing the GPS coordinate information for each pixel of the numerical surface model data applied in a frame unit from the numerical surface model generation unit according to the corresponding control signal of the numerical elevation model control unit, the average elevation of two or more pixels adjacent to the elevation coordinate value in succession If it is determined that the value is larger than the coordinate value, an artificial intelligence boundary line recognition unit that estimates the boundary line portion by artificial intelligence and records it cumulatively for recognition learning; If it is determined that the boundary line recognized by the AI boundary line recognition unit from the numerical surface model data in a frame unit is sequentially connected to form the outline of the closed loop by the corresponding control signal of the digital elevation model control unit, the artificial intelligence estimates it as a surface covering. An artificial intelligence surface covering extracting unit that accumulates and extracts records for recognition learning; By the corresponding control signal of the digital elevation model control unit, the artificial intelligence surface coating unit is flattened by replacing the elevation coordinate values of the part included in the outline of the surface coating extracted from the numerical surface model data in a frame unit with the elevation coordinate values outside the boundary line. It is characterized by including a surface treatment unit to process the surface.