Abstract
Utilizing Laplacian Eigenmaps we are able to leverage information from multimodal sensors (i.e., hyperspectral and LIDAR) to improve image classification results. We develop distance measures, joint kernels, and utilize feature space rotations to achieve fusion.
© 2015 Optical Society of America
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