Algorithm for Correction of Geometric Distortions of Hyperspectral Images Formed during Angular Oscillations of an Unmanned Aerial Vehicle

The article considers a model for the formation of a hyperspectral image by a spatial scan system installed on an unmanned aerial vehicle that moves translationally. We determine the relationship between the angular deviation of the aircraft in roll and the nature of the geometric distortions of the generated hyperspectral image lines. We propose an algorithm for correcting the introduced distortions by using the data of the inertial navigation system. The results of simulation and processing of real images demonstrated an acceptable correction quality and computational simplicity of the developed algorithm.