Proceedings of SPIE - the International Society for Optical Engineering
We combined cross-sensor data that leads to improved extraction of information from disparate sensors. We presented a new method for signal fusion that uses different transforms for the forward transforms of two images and a common transform for the inverse. When using a fusion rule that selects the maximum value between images, we were able to transfer more energy to the result using our method. Our method could form the basis of a new image fusion approach because it offers a way to transfer more energy to the result not possible with a conventional approach.
Kozaitis, S. P., & Ouendeno, M. (2006). Cross-sensor fusion of imagery for improved information extraction. Paper presented at the Proceedings of SPIE - the International Society for Optical Engineering, 6247 doi:10.1117/12.666460