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Timothy Doster
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Machine learning approach to OAM beam demultiplexing via convolutional neural networks
T Doster, AT Watnik
Applied optics 56 (12), 3386-3396, 2017
1982017
Laguerre–Gauss and Bessel–Gauss beams propagation through turbulence: analysis of channel efficiency
T Doster, AT Watnik
Applied Optics 55 (36), 10239-10246, 2016
1152016
De-multiplexing vortex modes in optical communications using transport-based pattern recognition
SR Park, L Cattell, JM Nichols, A Watnik, T Doster, GK Rohde
Optics express 26 (4), 4004-4022, 2018
752018
Semi-supervised learning of heterogeneous data in remote sensing imagery
J Benedetto, W Czaja, J Dobrosotskaya, T Doster, K Duke, D Gillis
Independent Component Analyses, Compressive Sampling, Wavelets, Neural Net …, 2012
342012
Gradual DropIn of Layers to Train Very Deep Neural Networks
LN Smith, EM Hand, T Doster
The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 4763-4771, 2016
332016
Integration of heterogeneous data for classification in hyperspectral satellite imagery
J Benedetto, W Czaja, J Dobrosotskaya, T Doster, K Duke, D Gillis
Algorithms and Technologies for Multispectral, Hyperspectral, and …, 2012
282012
Method for free space optical communication utilizing patterned light and convolutional neural networks
T Doster, AT Watnik
US Patent 10,187,171, 2019
272019
Transport-based model for turbulence-corrupted imagery
JM Nichols, TH Emerson, L Cattell, S Park, A Kanaev, F Bucholtz, ...
Applied optics 57 (16), 4524-4536, 2018
172018
Wavelet packet mixing for image fusion and pan-sharpening
W Czaja, T Doster, JM Murphy
Algorithms and Technologies for Multispectral, Hyperspectral, and …, 2014
172014
A parametric study of unsupervised anomaly detection performance in maritime imagery using manifold learning techniques
CC Olson, T Doster
Algorithms and Technologies for Multispectral, Hyperspectral, and …, 2016
142016
A novel detection paradigm and its comparison to statistical and kernel-based anomaly detection algorithms for hyperspectral imagery
CC Olson, T Doster
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
132017
Measuring multiplexed OAM modes with convolutional neural networks
T Doster, AT Watnik
Applications of Lasers for Sensing and Free Space Communications, LTh3B. 2, 2016
132016
The pre-image problem for Laplacian eigenmaps utilizing l1 regularization with applications to data fusion
A Cloninger, W Czaja, T Doster
Inverse Problems 33 (7), 074006, 2017
122017
Operator analysis and diffusion based embeddings for heterogeneous data fusion
A Cloninger, W Czaja, T Doster
2014 IEEE Geoscience and Remote Sensing Symposium, 1249-1252, 2014
122014
An optimal transport model for imaging in atmospheric turbulence
JM Nichols, AT Watnik, T Doster, S Park, A Kanaev, L Cattell, GK Rohde
arXiv preprint arXiv:1705.01050, 2017
112017
Spatial-spectral operator theoretic methods for hyperspectral image classification
JJ Benedetto, W Czaja, J Dobrosotskaya, T Doster, K Duke
GEM-International Journal on Geomathematics 7, 275-297, 2016
102016
Harmonic analysis inspired data fusion for applications in remote sensing
TJ Doster
University of Maryland, College Park, 2014
92014
A study of anomaly detection performance as a function of relative spectral abundances for graph-and statistics-based detection algorithms
CC Olson, M Coyle, T Doster
Algorithms and Technologies for Multispectral, Hyperspectral, and …, 2017
72017
Building robust neighborhoods for manifold learning-based image classification and anomaly detection
T Doster, CC Olson
Algorithms and Technologies for Multispectral, Hyperspectral, and …, 2016
72016
Operator based integration of information in multimodal radiological search mission with applications to anomaly detection
J Benedetto, A Cloninger, W Czaja, T Doster, K Kochersberger, ...
Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Sensing …, 2014
72014
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