Virtual control point obtaining method based on laser range finding and object space matching

Abstract

The invention relates to a virtual control point measuring device and method based on laser range finding and object space matching, and relates to the unmanned plane air triangle plotting field; themethod comprises the following steps: data acquisition, characteristic point extraction and matching, digital surface model generation, matching point probability object space coordinate obtaining, matching result refining, exterior orientation factor correction, and ground coordinate calculation. The unmanned plane is also provided with a plotting device including an aviation camera used for obtaining aviation images, a long measuring range laser range finding device used for obtaining point cloud data, and an airborne positioning device used for obtaining aviation camera outline exterior orientation factors and instantaneous time stamp data. The method can precisely plot the ground object space.

Description

technical field [0001] The present invention relates to the technical field of automatic control, in particular to a method for acquiring virtual control points based on laser ranging and object matching. Background technique [0002] Airborne Light Detecting and Ranging (Airborne Light Detecting and Ranging, Airborne LiDAR) is a rapid acquisition technology of 3D terrain data that integrates laser scanners and Positioning and Orientation System (Positioning and Orientation System, POS). The airborne LiDAR device emits a laser beam to the ground at a certain frequency and receives the laser signal reflected by the ground object. The distance between the scanner and the ground object is calculated according to the time difference between the transmitted signal and the reflected signal, and then combined with the current attitude of the platform obtained by the POS device to calculate the ground. The three-dimensional coordinates of the object. This process is called direct g...

AI Technical Summary

Problems solved by technology

In the actual production of LiDAR data processing, it is found that the elevation error of the point cloud is generally between 0.3m and 1.0m, especially when the accuracy of the POS equipment is not high and the GPS signal is not ideal, the point cloud coordinate error cannot be ignored, which often leads to The point cloud strips cannot be well matched, and the accuracy of the generated DEM cannot meet the requirements

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