Évaluation de deux méthodes de correction géométrique d'images Landsat TM et ERS-1 RAS dans une étude de linéaments géologiques

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Abstract
Exploiting the complementary characteristics of multi-source data for geological applications is particularly useful in lineament studies. Multi-source data integration requires rigorous correction methods to preserve the accuracy of the extracted information and the integrity of the composite image. This paper compares two geometric methods on Landsat TM and ERS-1 radar images: one is a photogrammetric method developed at the Canada Centre for Remote Sensing and the other is a polynomial method that is in general use. The superiority of the photogrammetric method, which accurately models the viewing geometry is demonstrated both quantitatively and qualitatively. This method achieved an accuracy of 30 m [vdot]ersus 45 m for the polynomial method on the TM images and 65 m versus 480 m on the radar images. Furthermore, it is shown that the residual geometric errors on the images rectified by the polynomial method modify the length, orientation and the number of extracted geological lineaments.