Geometrical registration of two images is nowadays a current and important step in remote sensing in view of further processing and interpretation of the data. Therefore, geometrical registration of images with different ground resolutions is useful for a better comprehension of dynamic processes (i.e., deforestation, desertification), as well as extrapolating models of interpretation for a small region to larger areas.
We present a new method of automatic registration based on a multiresolution decomposition of the images using the wavelet transform. The main properties of this transform, as well as how the use of the wavelet model leads to an automated geometric matching between the different images, are described. Our technique has been applied to different sensors (SPOT HRV, Landsat MSS) as well as from different sensors with different resolutions (SPOT HRV and Landsat MSS; Landsat TM and SPOT HRV).