Using a variational filtering algorithm to fill in surface temperature data gaps
Journal: Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa
Year: 2018

To restore the missing surface temperature measurement data, a filtration algorithm is considered. It is based on the variational approach, the search for the extremum of a quadratic functional, the representation of a function that approximates the measurement data as an expansion in terms of orthogonal functions. The procedure is based on a flat rotation of the original system by maximizing the quadratic functional characterizing the ratio of the coefficients of the system and its right-hand s