A geometrical rectification algorithm of UAV remote sensing images based on flight attitude parameters

This thesis propose an algorithm which is based on the unmanned aerial vehicle (UAV) remote sensing images geometrical rectification model with the flight attitude parameters. The algorithm can make the flight attitude information of the UAV remote sensing images for the fast geometrical distortion rectification in the course of lacking the ground control points to carry on. The quality assessment of the geometrical rectification results of the model is performed through experimental comparison and analysis. Geometrical rectification algorithm can not only obtain high resolution remote sensing images with effective rectification immediately but also improve the quality, speed and accuracy of UAV remote sensing data processing and quantified disaster information extraction.