Automated multisensor image registration

This paper develops a technique for the registration of multisensor images utilizing the Laplacian of Gaussian (LoG) filter to automatically determine semi-invariant ground control points (GCPs). These points are then related through the development of point matching techniques and statistical analysis. Through the use of matrix transformations, efficient management of multiple affine operations can be obtained and stored in a composite transform. Wavelet theory is used to enable the multi-resolution analysis critical for multisensor image registration and predictive transformations. Multiple methods will be discussed to test the accuracy of the resulting image registration. Benefits of this technique against pat-allay and moving objects within the scene will also be highlighted. Finally, an example of 'wavelet sharpening' will be demonstrated that preserves radiometric integrity.