The current state-of-the-art of high-resolution space images enables the performance of large scale mapping, map updating, monitoring of the Earth cover and the environment, and other practical, scientific, and defence-related tasks requiring to determine with great accuracy the mutual position of individual discrete points [2, 3, 4, 5, 6, 7, 8, 9].Based on a number of studies conducted at home and abroad [4, 7, 9], it was proven that the space images obtained upon their processing by the supplier and accordingly, upon their high precision georeference and rectification by the user, differ substantially in their precision. This happens when the user determines the coordinates of the ground-based CPs using GPS measurements and dedicated software, accounting for the recommendations made during processing.Based on the designed mathematical model [1, 3, 5] an algorithm is suggested that may be used to prepare software for processing and assessment of collected observational material after the Least Square Method (LSM).