Cross-sensor fusion of imagery for improved information extraction

S. P. Kozaitis; M. Ouendeno

doi:10.1117/12.666460

17 April 2006 Cross-sensor fusion of imagery for improved information extraction

S. P. Kozaitis, M. Ouendeno

Author Affiliations +

Proceedings Volume 6247, Independent Component Analyses, Wavelets, Unsupervised Smart Sensors, and Neural Networks IV; 624707 (2006) https://doi.org/10.1117/12.666460
Event: Defense and Security Symposium, 2006, Orlando (Kissimmee), Florida, United States

Abstract

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.

Citation Download Citation

S. P. Kozaitis and M. Ouendeno "Cross-sensor fusion of imagery for improved information extraction", Proc. SPIE 6247, Independent Component Analyses, Wavelets, Unsupervised Smart Sensors, and Neural Networks IV, 624707 (17 April 2006); https://doi.org/10.1117/12.666460

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