An analytic model is developed for the geometric rectification of aircraft multispectral scanner data using information on the position and attitude of the aircraft. The model is implemented by constructing a set of cubic spline approximations to the aircraft position and attitude. The splines are computed using a generalized Newton's method to obtain a best fit to a given set of match points. Several tests were run using various numbers and sizes of segments, and several sets of checkpoints. The results are presented with analysis indicating a high degree of accuracy and reliability in the method.
Henry R. Gee, Henry R. Gee,
"A New Model For The Geometric Correction Of Multispectral Scanner Data", Proc. SPIE 0933, Multispectral Image Processing and Enhancement, (24 August 1988); doi: 10.1117/12.968457; https://doi.org/10.1117/12.968457