A SAR dataset for ATR development: the Synthetic and Measured Paired Labeled Experiment (SAMPLE) B Lewis, T Scarnati, E Sudkamp, J Nehrbass, S Rosencrantz, E Zelnio
Algorithms for Synthetic Aperture Radar Imagery XXVI 10987, 39-54, 2019
166 2019 A deep learning approach to the synthetic and measured paired and labeled experiment (SAMPLE) challenge problem T Scarnati, B Lewis
Algorithms for Synthetic Aperture Radar Imagery XXVI 10987, 29-38, 2019
46 2019 Complex-valued neural networks for synthetic aperture radar image classification T Scarnati, B Lewis
2021 IEEE Radar Conference (RadarConf21), 1-6, 2021
27 2021 Reducing effects of bad data using variance based joint sparsity recovery A Gelb, T Scarnati
Journal of Scientific Computing 78 (1), 94-120, 2019
27 2019 Matching component analysis for transfer learning C Clum, DG Mixon, T Scarnati
SIAM Journal on Mathematics of Data Science 2 (2), 309-334, 2020
16 2020 Joint image formation and two-dimensional autofocusing for synthetic aperture radar data T Scarnati, A Gelb
Journal of Computational Physics 374, 803-821, 2018
16 2018 Variance based joint sparsity reconstruction of synthetic aperture radar data for speckle reduction T Scarnati, A Gelb
Algorithms for Synthetic Aperture Radar Imagery XXV 10647, 199-212, 2018
15 2018 Empirical Bayesian inference using a support informed prior J Zhang, A Gelb, T Scarnati
SIAM/ASA Journal on Uncertainty Quantification 10 (2), 745-774, 2022
13 2022 Using T Scarnati, A Gelb, RB Platte
Journal of Scientific Computing 75 (1), 225-252, 2018
13 2018 Three-dimensional object reconstruction from sparse multi-pass SAR data T Scarnati, JR Jamora
Algorithms for Synthetic Aperture Radar Imagery XXVIII 11728, 143-155, 2021
12 2021 Accurate and efficient image reconstruction from multiple measurements of fourier samples TS Gelb
Journal of Computational Mathematics 38 (5), 2020
12 2020 Exploiting the sparsity of edge information in synthetic aperture radar imagery for speckle reduction T Scarnati, E Zelnio, C Paulson
Algorithms for Synthetic Aperture Radar Imagery XXIV 10201, 42-54, 2017
7 2017 Combination of correlated phase error correction and sparsity models for SAR T Sanders, T Scarnati
Computational Imaging II 10222, 63-73, 2017
6 2017 Covariance-generalized matching component analysis for data fusion and transfer learning N Lorenzo, S O'Rourke, T Scarnati
arXiv preprint arXiv:2110.13194, 2021
5 2021 Recent techniques for regularization in partial differential equations and imaging T Scarnati
Arizona State University, 2018
5 2018 Methods of scanning acoustic microscopy and eddy current fusion for materials analysis J Wertz, E Blasch, M Cherry, S O'Rourke, T Scarnati, N Lorenzo, L Homa, ...
Signal Processing, Sensor/Information Fusion, and Target Recognition XXXI …, 2022
4 2022 Empirical bayesian inference using joint sparsity J Zhang, A Gelb, T Scarnati
arXiv preprint arXiv:2103.15618, 2021
4 2021 A comparison of template matching and deep learning for classification of occluded targets in LiDAR data I Zachmann, T Scarnati
Automatic Target Recognition XXX 11394, 56-67, 2020
4 2020 Investigating the saliency of SAR image chips B Lewis, T Scarnati, E Parke
Algorithms for Synthetic Aperture Radar Imagery XXVII 11393, 83-95, 2020
3 2020 Accelerated variance based joint sparsity recovery of images from fourier data T Scarnati, A Gelb
arXiv preprint arXiv:1910.08391, 2019
2 2019