17 citations · 43 across the 8 of their papers we have counts for
8 papers
Robust spectral unmixing of sparse multispectral Lidar waveforms using gamma Markov random fields
Yoann Altmann, Aurora Maccarone, Aongus McCarthy +4
This paper presents a new Bayesian spectral unmixing algorithm to analyse remote scenes sensed via sparse multispectral Lidar measurements. To a first approximation, in the presenc…
Statistical Estimation and Clustering of Group-invariant Orientation Parameters
Yu-Hui Chen, Dennis Wei, Gregory Newstadt +3
We treat the problem of estimation of orientation parameters whose values are invariant to transformations from a spherical symmetry group. Previous work has shown that any such gr…
A Dictionary Approach to EBSD Indexing
Yu-Hui Chen, Se Un Park, Dennis Wei +5
We propose a framework for indexing of grain and sub-grain structures in electron backscatter diffraction (EBSD) images of polycrystalline materials. The framework is based on a pr…
Coercive Region-level Registration for Multi-modal Images
Yu-Hui Chen, Dennis Wei, Gregory Newstadt +2
We propose a coercive approach to simultaneously register and segment multi-modal images which share similar spatial structure. Registration is done at the region level to facilita…
Parameter estimation in spherical symmetry groups
Yu-Hui Chen, Dennis Wei, Gregory Newstadt +3
This paper considers statistical estimation problems where the probability distribution of the observed random variable is invariant with respect to actions of a finite topological…
Resource-Constrained Adaptive Search for Sparse Multi-Class Targets with Varying Importance
Gregory E. Newstadt, Beipeng Mu, Dennis Wei +2
In sparse target inference problems it has been shown that significant gains can be achieved by adaptive sensing using convex criteria. We generalize previous work on adaptive sens…
Resource-Constrained Adaptive Search and Tracking for Sparse Dynamic Targets
Gregory E. Newstadt, Dennis L. Wei, Alfred O. Hero
This paper considers the problem of resource-constrained and noise-limited localization and estimation of dynamic targets that are sparsely distributed over a large area. We genera…
Moving target inference with hierarchical Bayesian models in synthetic aperture radar imagery
Gregory E. Newstadt, Edmund G. Zelnio, Alfred O. Hero
In synthetic aperture radar (SAR), images are formed by focusing the response of stationary objects to a single spatial location. On the other hand, moving targets cause phase erro…