Robert S. Rand

发表

The effect of wavelet-based dimension reduction on neural network classification and subpixel targeting algorithms

Robert S. Rand, Edward H. Bosch, 2004, SPIE Defense + Commercial Sensing.

A spectral mixture process conditioned by Gibbs-based partitioning

Robert S. Rand, Daniel M. Keenan, D. M. Keenan, 2001, IEEE Trans. Geosci. Remote. Sens..

New physical understanding of a type of idealized scattering and the implications of the method of solution used

Robert S. Rand, Henry Berger, 2002, SPIE Optics + Photonics.

Evaluation of matrix factorization method for data reduction and the unsupervised clustering of hyperspectral data using second-order statistics

Robert S. Rand, Edward Bosch, 2001, SPIE Defense + Commercial Sensing.

A physically constrained localized linear mixing model for TERCAT applications

Robert S. Rand, 2003, SPIE Defense + Commercial Sensing.

Full-range, solar-reflected hyperspectral microscopy to support earth remote sensing research

Robert S. Rand, David W. Allen, Ronald G. Resmini, 2018, Journal of Applied Remote Sensing.

Abundance estimation of solid and liquid mixtures in hyperspectral imagery with albedo-based and kernel-based methods

Robert S. Rand, David W. Allen, Ronald G. Resmini, 2016, Optical Engineering + Applications.

Exploitation of hyperspectral imagery using adaptive resonance networks

Robert S. Rand, R. Rand, 2007, SPIE Optical Engineering + Applications.

An analysis of the nonlinear spectral mixing of didymium and soda-lime glass beads using hyperspectral imagery (HSI) microscopy

Robert S. Rand, David W. Allen, Ronald G. Resmini, 2014, Defense + Security Symposium.

How to design synthetic images to validate and evaluate hyperspectral imaging algorithms

Chein-I Chang, Hsuan Ren, Robert S. Rand, 2008, SPIE Defense + Commercial Sensing.

Feature-based and statistical methods for analyzing the Deepwater Horizon oil spill with AVIRIS imagery

Robert S. Rand, K. Eric Livo, Roger N. Clark, 2011, Optical Engineering + Applications.

Gibbs-based unsupervised segmentation approach to partitioning hyperspectral imagery for terrain applications

Robert S. Rand, Daniel M. Keenan, 2001, SPIE Defense + Commercial Sensing.

Wavelet-based feature indices as a data mining tool for hyperspectral imagery exploitation

Robert S. Rand, Edward H. Bosch, Edmundo Simental, 2004, SPIE Optics + Photonics.

Fundamental reformulation of the radiative transport equation

Robert S. Rand, Henry Berger, 2004, SPIE Optics + Photonics.

Multivariate Spectral Analysis to Extract Materials from Multispectral Data

Robert S. Rand, Donald A. Davis, Donald A. Davis, 1993 .

Characterizing intimate mixtures of materials in hyperspectral imagery with albedo-based and kernel-based approaches

Robert S. Rand, David W. Allen, Ronald G. Resmini, 2015, SPIE Optical Engineering + Applications.

Spectral/spatial annealing of hyperspectral imagery initialized by a supervised classification method

Robert S. Rand, 2002, SPIE Defense + Commercial Sensing.

Modeling linear and intimate mixtures of materials in hyperspectral imagery with single-scattering albedo and kernel approaches

Robert S. Rand, David W. Allen, Ronald G. Resmini, 2017 .

Automated endmember determination and adaptive spectral mixture analysis using kernel methods

Amit Banerjee, Robert S. Rand, Joshua Broadwater, 2013, Optics & Photonics - Optical Engineering + Applications.

Spatially smooth partitioning of hyperspectral imagery using spectral/spatial measures of disparity

Robert S. Rand, Daniel M. Keenan, D. M. Keenan, 2003, IEEE Trans. Geosci. Remote. Sens..

Time domain scattering of travelling wave radiance

Robert S. Rand, Henry Berger, 2002, SPIE Optics + Photonics.

Separating patterns and finding the independent components of mixed signals based on non-Gaussian distribution properties

Pramod K. Varshney, Hao Chen, Robert S. Rand, 2005, SPIE Optics + Photonics.

Exploitation Performance and Characterization of a Prototype Compressive Sensing Imaging Spectrometer

David J. Brady, Robert S. Rand, Edward H. Bosch, 2013 .

Deep learning with convolutional fiber filters for spectral analysis of hyperspectral imagery (Conference Presentation)

Robert S. Rand, 2018 .

Background suppression and feature based spectroscopy methods for sub-pixel material identification

Robert S. Rand, Roger N. Clark, John M. Grossmann, 2012, Optics & Photonics - Optical Engineering + Applications.

A neural network approach for improved detector performance of spectral matched filters in hyperspectral imagery

Robert S. Rand, R. Rand, 2009, Optical Engineering + Applications.

Oscillatory correlation for scene segmentation of hyperspectral imagery for geospatial analysis

Robert S. Rand, 2010, Optical Engineering + Applications.

Invariant-feature-based adaptive automatic target recognition in obscured 3D point clouds

Timothy Khuon, Robert S. Rand, Enrico Mattei, 2014, Defense + Security Symposium.

Using kernel-based and single-scattering albedo approaches for generalized spectral mixture analysis of hyperspectral imagery

Robert S. Rand, Ronald G. Resmini, 2014, Optics & Photonics - Optical Engineering + Applications.

A biologically inspired neural oscillator network for geospatial analysis

DeLiang Wang, Robert S. Rand, 2006, SPIE Defense + Commercial Sensing.

Spectral and spatial algorithm architecture for classification of hyperspectral and LIDAR

Timothy Khuon, Robert S. Rand, R. Rand, 2012, Defense + Commercial Sensing.

Methods of monitoring the Persian Gulf oil spill using digital and hardcopy multiband data. Technical report, January-July 1991

Robert S. Rand, Melvin B. Satterwhite, John E. Anderson, 1992 .