Determination of Boresight Misalignment Parameters using Point-to-Plane Approach with LiDAR point cloud as ground referential
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Abstract
The direct orientation of images is an essential task for the extraction of photogrammetric products with a high degree of reliability. However, in order to obtain cartographic products with desired positional accuracy, it is necessary to carry out the calibration of the mapping system, which involves the determination of the camera's internal orientation parameters and the estimation of the system's mounting parameters. The geometric relationship between the sensors (mounting parameters) that are the lever-arm offset between the sensors, and the misalignment (boresight angles) between the INS referential system and the photogrammetric reference system. This work presents a method for estimating the boresight angles of the system using a point-to-plane approach and reference ground control extracted from LiDAR data. The proposed method was tested in a sub-block of images (six images from two opposite flight strips). The obtained results showed that the developed approach effectively estimates misalignment angles, providing positional accuracy in the determination of points in the object space.
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