Estimation aссuracy of orthotransformation of space images applying satellite Pleiades-1 by GNSS surveying

Lviv polytechnic National University
Lviv Polytechnic National University
Lviv Polytechnic National University
Lviv Polytechnic National University

Aim. Perform an estimation of the accuracy of the orthotransformation of the satellite images obtained from the satellite Pleiades-1 on the territory of settlement Skhidnytsya (Ukraine). Methods. The method used in the experiment included photogrammetric and geodetic work. Geodetic work consisted of field measurements of coordinates of reference and control points using GNSS. The Erdas Imagine software package transforms a space image from the Pleiades-1 satellite from with RPC coefficients. Further, is applyied a layer of points on a transformed image obtained with GNSS revealed significant deviations of the image points from the real (especially in mountainous terrain). To reduce the deviations in the MathCAD software, a program has been created to calculate the RPC model formulas. Using this model the coordinates of the points of the picture and the coordinates of the points in the area, we obtain the refined coefficients for the given plot. These coefficients have been replaced with the RPC file. Transformation of the image after the updated file was carried out, resulting in a satisfactory result. Results. The results of the study of orthotransformation accuracy of space images of the village Shidnytsia (Ukraine) received applying satellite Pleiades-1 are considered in this article. Estimation  accuracy has been done basing on coordinates of 165 points obtained from GNSS surveying. Projective mathematic model  RPC  have been determined analytically with the help of unknown coefficients. Based on these coefficients retransformation of image has been done, the average square error of coordinate displacement has been determined.   Scientific novelty. It was determined during the research that the RPC coefficients that firms provide with space image are rather conditional because they are derived from global DЕM. In order to refine the coefficients, the solution of the mathematical model was programmed. Using this data, you can edit a file with RPC-coefficients.The practical significance.  The result of the experiment was a transformation of the image into the local territory of the village of Shednitsa. The transformed image allows to update a previously created tourist map at a scale of 1: 6000 on request of the village management or to create other thematic maps.

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