ABSTRACT
Geometric deformations develop between the scene observed by the satellite sensors and the raw image received at the receiving stations. One type of deformation arises from errors generated during image acquisition. Another type of geometric deformation is a direct consequence of the curvature and topography of the Earth. Remote-sensing data are often used for analysing the natural media. Two main categories of methods used for correction of geometric deformations of remote-sensing images can be distinguished. These are: parametric methods and interpolation methods. Depending on the mathematical model used, interpolation methods are of two types: methods that correct for global deformations and those that correct for local deformations of the image. Geometric transformation that provides this pseudo-3D view consists of computation of projection on a plane. Depending on the number of points used for solving the polynomial equation, the method is referred to as either interpolation or approximation.
