In recent years، high resolution satellite images (HRSI) become one of the basic source of information required for producing and updating big scale maps. The accuracy of extracted data from these images depends on accuracy of mathematical models for the satellite sensor that describe the relationship between image and objects spaces. But، in most cases, there is no satellite orbit information for these new sensors. In this case, we apply empirical methods based on control points to define this relationship (e.g. geometric correction of images) and to transform image to source of spatial information.
In this research, we experimented some of these empirical methods to achieve the geometric correction of a High Resolution Satellite Images (HRSI) covered a part of Lattakia state
(a QUICKBIRD image white a spatial resolution equal to 0.6 m). When applying these methods, the coordinates of control points were measured by GPS, in WGS-84, using static method. These coordinates were then transformed into the Syrian local coordinate system. The results of the experiment show that the second and third order polynomials, are appropriate to correct satellite images that cover limited areas. In the case of planimetric areas, we found that the projective transformation is very effective; and the rubber sheet is the most appropriate when a large amount of control points, covering the whole imaged scene, is available.
Tishreen University Journal.
2017.
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