Multimodality Image Registration And Fusion Using Neural Network
نویسندگان
چکیده
Multimodality image registration and fusion are essential steps in building 3-D models from remote sensing data. In this paper, we present a neural network technique for the registration and fusion of multimodality remote sensing data for the reconstruction of 3-D models of terrain regions. A FeedForward neural network is used to fuse the intensity data sets with the spatial data set after learning its geometry. Results on real data are presented. Human performance evaluation is assessed on several perceptual tests in order to evaluate the fusion results.
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