Many modern imaging sensors must obtain multiple looks or “views” of a target at different
orientations to automatically classify it with high confidence. Therefore, when tasked with …

Sonar imaging has seen vast improvements over the last few decades due in part to
advances in synthetic aperture sonar. Sophisticated classification techniques can now be …

Target classification and recognition (TCR) of high resolution remote-sensing image is the
important ability for earth observation system and unmanned autonomous system. It is …

Given a high dimensional dataset, one would like to be able to represent this data using
fewer parameters while preserving relevant signal information. If we assume the original …

Assuming that a 1D curve is a representation of a manifold embedded in a 2D-space, the
metrics of the eigenfunctions of the weighted graph-Laplacian and diffusion operator of that …

Assuming that a 1D curve can be represented as a graph embedded in a 2D-space, the
metrics of the eigenfunctions of the weighted graph-Laplacian and diffusion operator of that …

Assuming that a 2D surface is a representation of a manifold embedded in 3-space then
metrics of the eigenfunctions of the diffusion maps of that manifold represent the shape of …

By utilizing onboard sensors such as side-scan or forward-looking sonar, autonomous
underwater robots can perform many useful tasks, such as exploring and searching for …

Both sonar and radar have seen incredible advances in image quality with the increased
usage of synthetic aperture array designs. This clever signal processing technique allows for …