Segmenting Hyperspectral Scenes with Occlusions

We develop new models for segmentation hyperspectral scenes with occlusions and, particularly, the problem of target identification in these scenes. The approach is based on modeling the appearance of three-dimensional scenes with backgrounds, objects of interest, and possible occluders. We also consider novel invariant shape priors that can be used to guide segmentation and detection processes towards user specified objects of interest.