Nonlinear Mixing with the Hapke Model

Multiple-Instance Hidden Markov Models With Applications to Landmine Detection Abstract A novel multiple-instance hidden Markov model (MI-HMM) is introduced for classification of time-series data, and its training is developed using stochastic expectation maximization. The MI-HMM provides a single statistical form… Read More
SPICEE: An Extension of SPICE for Sparse Endmember Estimation in Hyperspectral Imagery Abstract An extension to the sparsity promoting iterated constrained endmember (SPICE) algorithm, named as SPICEE, has been presented. In ICE and SPICE, endmembers are estimated using a pseudoinverse… Read More