David A. Landgrebe

49 papers B 1C 5Journal 41Unranked 1
YearRankTypeTitle / Venue / Authors
2005 J jnl
Multispectral land sensing: where from, where to?
IEEE Trans. Geosci. Remote. Sens.
David A. Landgrebe
2004 J jnl
A cost-effective semisupervised classifier approach with kernels.
IEEE Trans. Geosci. Remote. Sens.
Murat Dundar, David A. Landgrebe
2004 J jnl
Nonparametric weighted feature extraction for classification.
IEEE Trans. Geosci. Remote. Sens.
Bor-Chen Kuo, David A. Landgrebe
2004 J jnl
Toward an optimal supervised classifier for the analysis of hyperspectral data.
IEEE Trans. Geosci. Remote. Sens.
Murat Dundar, David A. Landgrebe
2003 C conf
Gaussian mixture classifier with regularized covariance estimator for hyperspectral data classification.
IGARSS
Bor-Chen Kuo, Jinn-Min Yang, David A. Landgrebe
2003 C conf
Regularized feature extractions for hyperspectral data classification.
IGARSS
Bor-Chen Kuo, Li-Wei Ko, Chia-Hao Pai, David A. Landgrebe
2003 — book
Signal Theory Methods in Multispectral Remote Sensing
David A. Landgrebe
2002 J jnl
A covariance estimator for small sample size classification problems and its application to feature extraction.
IEEE Trans. Geosci. Remote. Sens.
Bor-Chen Kuo, David A. Landgrebe
2002 J jnl
A model-based mixture-supervised classification approach in hyperspectral data analysis.
IEEE Trans. Geosci. Remote. Sens.
Murat Dundar, David A. Landgrebe
2002 J jnl
A process model for remote sensing data analysis.
IEEE Trans. Geosci. Remote. Sens.
Varun Madhok, David A. Landgrebe
2002 J jnl
A robust classification procedure based on mixture classifiers and nonparametric weighted feature extraction.
IEEE Trans. Geosci. Remote. Sens.
Bor-Chen Kuo, David A. Landgrebe
2002 C conf
Adaptive Bayesian contextual classification based on Markov random fields.
IGARSS
Qiong Jackson, David A. Landgrebe
2002 J jnl
Adaptive Bayesian contextual classification based on Markov random fields.
IEEE Trans. Geosci. Remote. Sens.
Qiong Jackson, David A. Landgrebe
2002 J jnl
An adaptive method for combined covariance estimation and classification.
IEEE Trans. Geosci. Remote. Sens.
Qiong Jackson, David A. Landgrebe
2002 C conf
Hyperspectral data classification using nonparametric weighted feature extraction.
IGARSS
Bor-Chen Kuo, David A. Landgrebe
2002 J jnl
Hyperspectral image data analysis.
IEEE Signal Process. Mag.
David A. Landgrebe
2002 C conf
Regularized covariance estimators for hyperspectral data classification and its application to feature extraction.
IGARSS
Bor-Chen Kuo, David A. Landgrebe
2001 J jnl
An adaptive classifier design for high-dimensional data analysis with a limited training data set.
IEEE Trans. Geosci. Remote. Sens.
Qiong Jackson, David A. Landgrebe
2001 J jnl
Introduction to the special issue on analysis of hyperspectral image data.
IEEE Trans. Geosci. Remote. Sens.
David A. Landgrebe, Sebastiano B. Serpico, Melba M. Crawford, Vern Singhroy
2000 J jnl
Robust parameter estimation for mixture model.
IEEE Trans. Geosci. Remote. Sens.
Saldju Tadjudin, David A. Landgrebe
1999 J jnl
Covariance estimation with limited training samples.
IEEE Trans. Geosci. Remote. Sens.
Saldju Tadjudin, David A. Landgrebe
1999 J jnl
Decision fusion approach for multitemporal classification.
IEEE Trans. Geosci. Remote. Sens.
Byeungwoo Jeon, David A. Landgrebe
1999 J jnl
Hyperspectral data analysis and supervised feature reduction via projection pursuit.
IEEE Trans. Geosci. Remote. Sens.
Luis O. Jimenez, David A. Landgrebe
1999 J jnl
On the classification of classes with nearly equal spectral response in remote sensing hyperspectral image data.
IEEE Trans. Geosci. Remote. Sens.
Victor Haertel, David A. Landgrebe
1999 J jnl
Partially supervised classification using weighted unsupervised clustering.
IEEE Trans. Geosci. Remote. Sens.
Byeungwoo Jeon, David A. Landgrebe
1998 J jnl
Supervised classification in high-dimensional space: geometrical, statistical, and asymptotical properties of multivariate data.
IEEE Trans. Syst. Man Cybern. Part C
Luis O. Jimenez, David A. Landgrebe
1997 J jnl
Decision boundary feature extraction for neural networks.
IEEE Trans. Neural Networks
Chulhee Lee, David A. Landgrebe
1996 J jnl
Covariance Matrix Estimation and Classification With Limited Training Data.
IEEE Trans. Pattern Anal. Mach. Intell.
Joseph P. Hoffbeck, David A. Landgrebe
1996 — conf
Video and image systems engineering education for the 21st century.
ICIP (1)
Jan P. Allebach, Charles A. Bouman, Edward J. Coyle, Edward J. Delp, David A. Landgrebe, Anthony A. Maciejewski, Zygmunt Pizlo, Ness B. Shroff, Michael D. Zoltowski
1994 J jnl
Fast Parzen Density Estimation Using Clustering-Based Branch and Bound.
IEEE Trans. Pattern Anal. Mach. Intell.
Byeungwoo Jeon, David A. Landgrebe
1994 J jnl
The effect of unlabeled samples in reducing the small sample size problem and mitigating the Hughes phenomenon.
IEEE Trans. Geosci. Remote. Sens.
Behzad M. Shahshahani, David A. Landgrebe
1993 J jnl
Analyzing high-dimensional multispectral data.
IEEE Trans. Geosci. Remote. Sens.
Chulhee Lee, David A. Landgrebe
1993 J jnl
Decision boundary feature extraction for nonparametric classification.
IEEE Trans. Syst. Man Cybern.
Chulhee Lee, David A. Landgrebe
1993 J jnl
Feature Extraction Based on Decision Boundaries.
IEEE Trans. Pattern Anal. Mach. Intell.
Chulhee Lee, David A. Landgrebe
1992 J jnl
Classification with spatio-temporal interpixel class dependency contexts.
IEEE Trans. Geosci. Remote. Sens.
Byeungwoo Jeon, David A. Landgrebe
1991 J jnl
A survey of decision tree classifier methodology.
IEEE Trans. Syst. Man Cybern.
S. Rasoul Safavian, David A. Landgrebe
1991 J jnl
An adaptive reconstruction system for spatially correlated multispectral multitemporal images.
IEEE Trans. Geosci. Remote. Sens.
Chulhee Lee, David A. Landgrebe
1991 J jnl
An analytical model of Earth-observational remote sensing systems.
IEEE Trans. Syst. Man Cybern.
John P. Kerekes, David A. Landgrebe
1991 J jnl
Fast likelihood classification.
IEEE Trans. Geosci. Remote. Sens.
Chulhee Lee, David A. Landgrebe
1991 J jnl
Hierarchical classifier design in high-dimensional numerous class cases.
IEEE Trans. Geosci. Remote. Sens.
Byungyong Kim, David A. Landgrebe
1991 J jnl
Parameter trade-offs for imaging spectroscopy systems [remote sensing].
IEEE Trans. Geosci. Remote. Sens.
John P. Kerekes, David A. Landgrebe
1989 B conf
Use of robust estimators in parametric classifiers.
SMC
S. Rasoul Safavian, David A. Landgrebe
1987 J jnl
Stochastic Model Utilizing Spectral and Spatial Characteristics.
IEEE Trans. Pattern Anal. Mach. Intell.
H. M. Kalayeh, David A. Landgrebe
1985 J jnl
Scanning the issue.
Proc. IEEE
David A. Landgrebe
1984 J jnl
Adaptive Relaxation Labeling.
IEEE Trans. Pattern Anal. Mach. Intell.
H. M. Kalayeh, David A. Landgrebe
1983 J jnl
Predicting the Required Number of Training Samples.
IEEE Trans. Pattern Anal. Mach. Intell.
H. M. Kalayeh, David A. Landgrebe
1981 J jnl
Pixel Labeling by Supervised Probabilistic Relaxation.
IEEE Trans. Pattern Anal. Mach. Intell.
J. A. Richards, David A. Landgrebe, Philip H. Swain
1980 J jnl
The development of a spectral-spatial classifier for earth observational data.
Pattern Recognit.
David A. Landgrebe
1976 J jnl
Variance comparisons for unbiased estimators of probability of correct classification (Corresp.).
IEEE Trans. Inf. Theory
David S. Moore, Stephen J. Whitsitt, David A. Landgrebe