Simple math models, such as Polynomial, Thin Plate Spline, and Rational Functions, use ground control points (GCPs) to calculate a transformation that will warp the raw image to fit the ground coordinates. The warping the raw image is known as geometric correction. The quality of the geometrically corrected image is directly related to the quality and number of the GCPs and the math model that you choose. Selecting the wrong math model, collecting too few GCPs, or inaccurately collecting the GCPs may result in a geometrically corrected image that does not suit your needs.
