h Bagheri - M.Sc. of Photogrammetry, Dep. of surveying engineering Tafresh University Tafresh, Iran
s Sadeghian - Assistant Prof, Geomatics College of NCC National Cartographic Center (NCC) Tehran, Iran

In the recent decades, the determination and evaluation of geometrical correction models as well as georeferencing satellite images have been of great considerationdue to their frequent use in various fields, and are regarded a leading topic in photogrammetry and remote sensing. This paperis about the geometric correction of the Worldview-2 satelliteimage using different modeling methods and tries to give an overall evaluation of strength of various possible modeling for aprototype image of an urban area like Tehran. The distribution and number of control points with regard to their effects in eachmodeling method were examined which resulted in a high precision of a final geometry correction about 0.36 meter usingrational functions. For more optimization artificial intelligentmethods like genetic algorithms and neural networks were used. With the use of perceptron network, a result of 0.84 pixels with 4neurons in middle layer was gained and the final conclusion was that with these algorithms it is possible to optimize the existingmodels and have better results than usual ones.

component; Geometric modeling, HRSI, Precision evaluation, Genetic algorithm, Neural network