Robert S. Rand, Ph.D. - Publications

Affiliations: 
2001 University of Virginia, Charlottesville, VA 
Area:
Statistics, Electronics and Electrical Engineering

23 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2018 Slonecker ET, Allen DW, Resmini RG, Rand RS, Paine E. Full-range, solar-reflected hyperspectral microscopy to support earth remote sensing research Journal of Applied Remote Sensing. 12: 26024. DOI: 10.1117/1.Jrs.12.026024  0.42
2017 Rand RS, Resmini RG, Allen DW. Modeling linear and intimate mixtures of materials in hyperspectral imagery with single-scattering albedo and kernel approaches Journal of Applied Remote Sensing. 11: 16005-16005. DOI: 10.1117/1.Jrs.11.016005  0.43
2016 Rand RS, Resmini RG, Allen DW. Abundance estimation of solid and liquid mixtures in hyperspectral imagery with albedo-based and kernel-based methods Proceedings of Spie. 9976. DOI: 10.1117/12.2239253  0.425
2016 Rand RS, Khuon TS, Truslow E. Distributed adaptive framework for multispectral/hyperspectral imagery and three-dimensional point cloud fusion Optical Engineering. 55: 73101-73101. DOI: 10.1117/1.Oe.55.7.073101  0.413
2015 Rand RS, Resmini RG, Allen DW. Characterizing intimate mixtures of materials in hyperspectral imagery with albedo-based and kernel-based approaches Proceedings of Spie - the International Society For Optical Engineering. 9611. DOI: 10.1117/12.2190067  0.448
2014 Khuon T, Kershner C, Mattei E, Alverio A, Rand R. Invariant-feature-based adaptive automatic target recognition in obscured 3D point clouds Proceedings of Spie. 9091. DOI: 10.1117/12.2064801  0.372
2014 Rand RS, Resmini RG. Using kernel-based and single-scattering albedo approaches for generalized spectral mixture analysis of hyperspectral imagery Proceedings of Spie - the International Society For Optical Engineering. 9222. DOI: 10.1117/12.2063278  0.453
2014 Resmini RG, Rand RS, Allen DW, Deloye CJ. An analysis of the nonlinear spectral mixing of didymium and soda-lime glass beads using hyperspectral imagery (HSI) microscopy Proceedings of Spie - the International Society For Optical Engineering. 9088. DOI: 10.1117/12.2051434  0.479
2013 Rand RS, Banerjee A, Broadwater J. Automated endmember determination and adaptive spectral mixture analysis using kernel methods Proceedings of Spie - the International Society For Optical Engineering. 8870. DOI: 10.1117/12.2026728  0.503
2012 Rand RS, Grossmann JM, Clark RN, Livo E, Thomas Parr J. Background suppression and feature based spectroscopy methods for sub-pixel material identification Proceedings of Spie - the International Society For Optical Engineering. 8515. DOI: 10.1117/12.930469  0.469
2012 Rand RS, Khuon TS. Spectral and spatial algorithm architecture for classification of hyperspectral and LIDAR Proceedings of Spie - the International Society For Optical Engineering. 8407. DOI: 10.1117/12.918514  0.377
2011 Rand RS, Clark RN, Livo KE. Feature-based and statistical methods for analyzing the Deepwater Horizon oil spill with AVIRIS imagery Proceedings of Spie - the International Society For Optical Engineering. 8158. DOI: 10.1117/12.894909  0.343
2010 Rand RS. Oscillatory correlation for scene segmentation of hyperspectral imagery for geospatial analysis Proceedings of Spie - the International Society For Optical Engineering. 7812. DOI: 10.1117/12.862048  0.398
2009 Rand RS. A neural network approach for improved detector performance of spectral matched filters in hyperspectral imagery Proceedings of Spie - the International Society For Optical Engineering. 7457. DOI: 10.1117/12.825748  0.439
2007 Rand RS. Exploitation of hyperspectral imagery using adaptive resonance networks Proceedings of Spie - the International Society For Optical Engineering. 6696. DOI: 10.1117/12.734918  0.414
2005 Rand RS, Chen H, Varshney PK. Separating patterns and finding the independent components of mixed signals based on non-Gaussian distribution properties Proceedings of Spie - the International Society For Optical Engineering. 5909: 1-12. DOI: 10.1117/12.615427  0.406
2004 Rand RS, Bosch EH. The effect of wavelet-based dimension reduction on neural network classification and subpixel targeting algorithms Proceedings of Spie - the International Society For Optical Engineering. 5425: 653-664. DOI: 10.1117/12.542696  0.314
2003 Rand RS. A physically-constrained localized linear mixing model for TERCAT applications Proceedings of Spie - the International Society For Optical Engineering. 5093: 547-558. DOI: 10.1117/12.485935  0.399
2003 Rand RS, Keenan DM. Spatially smooth partitioning of hyperspectral imagery using spectral/spatial measures of disparity Ieee Transactions On Geoscience and Remote Sensing. 41: 1479-1490. DOI: 10.1109/Tgrs.2003.811816  0.601
2002 Rand RS. Spectral/spatial annealing of hyperspectral imagery initialized by a supervised classification method Proceedings of Spie - the International Society For Optical Engineering. 4725: 242-253. DOI: 10.1117/12.478757  0.409
2001 Bosch EH, Rand RS. Evaluation of a matrix factorization method for data reduction and the unsupervised clustering of hyperspectral data using second order statistics Proceedings of Spie - the International Society For Optical Engineering. 4381: 296-307. DOI: 10.1117/12.437020  0.375
2001 Rand RS, Keenan DM. A Gibbs-based unsupervised segmentation approach to partitioning hyperspectral imagery for terrain applications Proceedings of Spie - the International Society For Optical Engineering. 4381: 275-285. DOI: 10.1117/12.437018  0.604
2001 Rand RS, Keenan DM. A spectral mixture process conditioned by Gibbs-based partitioning Ieee Transactions On Geoscience and Remote Sensing. 39: 1421-1434. DOI: 10.1109/36.934074  0.585
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