Title :
Automated multisensor image registration
Abstract :
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 have been discussed to test the accuracy of the resulting image registration. Benefits of this technique against parallax and moving objects within the scene has also been highlighted. Finally, an example of ´wavelet sharpening´ has been demonstrated that preserves radiometric integrity.
Keywords :
filtering theory; image matching; image registration; image resolution; matrix multiplication; sensor fusion; statistical analysis; wavelet transforms; Laplacian of Gaussian filter; automated multisensor image registration; composite transform; matrix transformations; multiple affine operations; multiresolution analysis; point matching techniques; radiometric integrity; semiinvariant ground control points; statistical analysis; wavelet theory; Automatic control; Filters; Image analysis; Image registration; Laplace equations; Layout; Radiometry; Statistical analysis; Testing; Wavelet analysis;
Conference_Titel :
Applied Imagery Pattern Recognition Workshop, 2003. Proceedings. 32nd
Print_ISBN :
0-7695-2029-4
DOI :
10.1109/AIPR.2003.1284257