Statistical modeling of the point spread function in the spherical atmosphere and a criterion for detecting image isoplanarity zones

Abstract

An algorithm is proposed to simulate a point spread function by the Monte Carlo method in order to represent external channel formation in the spherical model system of the “atmosphere-earth surface.” A new way of defining isoplanarity zones of optically homogeneous extended objects is described. We demonstrate that image restoration with a specified error for these objects when they are observed on the earth’s surface from space by an ideal optical system can determine a definite point spread function set.