Now showing items 1-5 of 5

    • Cross-sensor fusion of imagery for improved information extraction 

      Kozaitis, Samuel P.; Ouendeno, Michel (2006-04-17)
      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 ...
    • Disparity determination using multilevel products 

      Ouendeno, Michel; Kozaitis, Samuel P. (2005-04-05)
      We determined the overall disparity from stereo images using multiscale products of disparity values. Using the wavelet transform, we used a multiresolution analysis to calculate disparity values from stereo images at ...
    • Image fusion for improved perception 

      Ouendeno, Michel; Kozaitis, Samuel P. (2006-05-17)
      We developed a method to fuse imagery for from different sensor types. The core of our method uses different forward transforms of input images and a common transform to reconstruct the final result. When measuring the ...
    • Signal-to-noise ratio for cross-sensor fusion approach 

      Kozaitis, Samuel P.; Ouendeno, Michel (2007-04-09)
      We determined the signal-to-noise ratios for an image fusion approach that is suitable for application to systems with disparate sensors. We found there was reconstruction error present when the forward and reverse transforms ...
    • Wavelet-based fusion approach using unique reconstruction approach 

      Ouendeno, Michel; Kozaitis, Samuel P. (2007-04-09)
      We used measures based on entropy to evaluate a method designed to fuse imagery from different sensor types. The method uses different forward transforms of input images and a common transform to reconstruct the final ...