Method and system of unmanned aerial vehicle imaging hyperspectral geometric correction based on RGB image

The present invention provides a method of unmanned aerial vehicle imaging hyperspectral geometric correction based on a RGB image. The method comprises the following steps of: collecting hyperspectral data, RGB camera data and POS (Position and Orientation System) data of a low-precision POS sensor in real time; performing aerial triangulation and three-dimensional modeling of the RGB camera dataaccording to the POS data, and obtaining orthographic RGB image data in an imaging area; performing preliminary geometric correction of the hyperspectral data according to the POS data, and generating hyperspectral image data with low geometric accuracy; and performing comparison and analysis of the orthographic RGB image data and the hyperspectral image data with low geometric accuracy, obtaining the same spatial texture feature point data, and obtaining hyperspectral image data with high geometric accuracy. An airborne RGB camera is employed to obtain high-precision DOM (Digital OrthophotoMap) data, spatial texture