Variance comparisons for unbiased estimators of probability of correct classification (Corresp.). - David S. Moore; Stephen J. Whitsitt; David A. Landgrebe (IEEE Trans. Inf. Theory, 1976)

The development of a spectral-spatial classifier for earth observational data. - David A. Landgrebe (Pattern Recognit., 1980)

Pixel Labeling by Supervised Probabilistic Relaxation. - J. A. Richards; David A. Landgrebe; Philip H. Swain (IEEE Trans. Pattern Anal. Mach. Intell., 1981)

Predicting the Required Number of Training Samples. - H. M. Kalayeh; David A. Landgrebe (IEEE Trans. Pattern Anal. Mach. Intell., 1983)

Adaptive Relaxation Labeling. - H. M. Kalayeh; David A. Landgrebe (IEEE Trans. Pattern Anal. Mach. Intell., 1984)

Scanning the issue. - David A. Landgrebe (Proc. IEEE, 1985)

Stochastic Model Utilizing Spectral and Spatial Characteristics. - H. M. Kalayeh; David A. Landgrebe (IEEE Trans. Pattern Anal. Mach. Intell., 1987)

Use of robust estimators in parametric classifiers. - S. Rasoul Safavian; David A. Landgrebe (SMC, 1989)

Parameter trade-offs for imaging spectroscopy systems [remote sensing]. - John P. Kerekes; David A. Landgrebe (IEEE Trans. Geosci. Remote. Sens., 1991)

Hierarchical classifier design in high-dimensional numerous class cases. - Byungyong Kim; David A. Landgrebe (IEEE Trans. Geosci. Remote. Sens., 1991)

An adaptive reconstruction system for spatially correlated multispectral multitemporal images. - Chulhee Lee; David A. Landgrebe (IEEE Trans. Geosci. Remote. Sens., 1991)

Fast likelihood classification. - Chulhee Lee; David A. Landgrebe (IEEE Trans. Geosci. Remote. Sens., 1991)

An analytical model of Earth-observational remote sensing systems. - John P. Kerekes; David A. Landgrebe (IEEE Trans. Syst. Man Cybern., 1991)

A survey of decision tree classifier methodology. - S. Rasoul Safavian; David A. Landgrebe (IEEE Trans. Syst. Man Cybern., 1991)

Classification with spatio-temporal interpixel class dependency contexts. - Byeungwoo Jeon; David A. Landgrebe (IEEE Trans. Geosci. Remote. Sens., 1992)

Feature Extraction Based on Decision Boundaries. - Chulhee Lee; David A. Landgrebe (IEEE Trans. Pattern Anal. Mach. Intell., 1993)

Analyzing high-dimensional multispectral data. - Chulhee Lee; David A. Landgrebe (IEEE Trans. Geosci. Remote. Sens., 1993)

Decision boundary feature extraction for nonparametric classification. - Chulhee Lee; David A. Landgrebe (IEEE Trans. Syst. Man Cybern., 1993)

Fast Parzen Density Estimation Using Clustering-Based Branch and Bound. - Byeungwoo Jeon; David A. Landgrebe (IEEE Trans. Pattern Anal. Mach. Intell., 1994)

The effect of unlabeled samples in reducing the small sample size problem and mitigating the Hughes phenomenon. - Behzad M. Shahshahani; David A. Landgrebe (IEEE Trans. Geosci. Remote. Sens., 1994)

Video and image systems engineering education for the 21st century. - 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 (ICIP (1), 1996)

Covariance Matrix Estimation and Classification With Limited Training Data. - Joseph P. Hoffbeck; David A. Landgrebe (IEEE Trans. Pattern Anal. Mach. Intell., 1996)

Decision boundary feature extraction for neural networks. - Chulhee Lee; David A. Landgrebe (IEEE Trans. Neural Networks, 1997)

Supervised classification in high-dimensional space: geometrical, statistical, and asymptotical properties of multivariate data. - Luis O. Jimenez; David A. Landgrebe (IEEE Trans. Syst. Man Cybern. Part C, 1998)

On the classification of classes with nearly equal spectral response in remote sensing hyperspectral image data. - Victor Haertel; David A. Landgrebe (IEEE Trans. Geosci. Remote. Sens., 1999)

Partially supervised classification using weighted unsupervised clustering. - Byeungwoo Jeon; David A. Landgrebe (IEEE Trans. Geosci. Remote. Sens., 1999)

Decision fusion approach for multitemporal classification. - Byeungwoo Jeon; David A. Landgrebe (IEEE Trans. Geosci. Remote. Sens., 1999)

Hyperspectral data analysis and supervised feature reduction via projection pursuit. - Luis O. Jimenez; David A. Landgrebe (IEEE Trans. Geosci. Remote. Sens., 1999)

Covariance estimation with limited training samples. - Saldju Tadjudin; David A. Landgrebe (IEEE Trans. Geosci. Remote. Sens., 1999)

Robust parameter estimation for mixture model. - Saldju Tadjudin; David A. Landgrebe (IEEE Trans. Geosci. Remote. Sens., 2000)

An adaptive classifier design for high-dimensional data analysis with a limited training data set. - Qiong Jackson; David A. Landgrebe (IEEE Trans. Geosci. Remote. Sens., 2001)

Introduction to the special issue on analysis of hyperspectral image data. - David A. Landgrebe; Sebastiano B. Serpico; Melba M. Crawford; Vern Singhroy (IEEE Trans. Geosci. Remote. Sens., 2001)

Hyperspectral data classification using nonparametric weighted feature extraction. - Bor-Chen Kuo; David A. Landgrebe (IGARSS, 2002)

Regularized covariance estimators for hyperspectral data classification and its application to feature extraction. - Bor-Chen Kuo; David A. Landgrebe (IGARSS, 2002)

Hyperspectral image data analysis. - David A. Landgrebe (IEEE Signal Process. Mag., 2002)

A model-based mixture-supervised classification approach in hyperspectral data analysis. - Murat Dundar; David A. Landgrebe (IEEE Trans. Geosci. Remote. Sens., 2002)

An adaptive method for combined covariance estimation and classification. - Qiong Jackson; David A. Landgrebe (IEEE Trans. Geosci. Remote. Sens., 2002)

Adaptive Bayesian contextual classification based on Markov random fields. - Qiong Jackson; David A. Landgrebe (IEEE Trans. Geosci. Remote. Sens., 2002)

A covariance estimator for small sample size classification problems and its application to feature extraction. - Bor-Chen Kuo; David A. Landgrebe (IEEE Trans. Geosci. Remote. Sens., 2002)

A robust classification procedure based on mixture classifiers and nonparametric weighted feature extraction. - Bor-Chen Kuo; David A. Landgrebe (IEEE Trans. Geosci. Remote. Sens., 2002)

A process model for remote sensing data analysis. - Varun Madhok; David A. Landgrebe (IEEE Trans. Geosci. Remote. Sens., 2002)

Signal Theory Methods in Multispectral Remote Sensing - David A. Landgrebe (Wiley, 2003)

Regularized feature extractions for hyperspectral data classification. - Bor-Chen Kuo; Li-Wei Ko; Chia-Hao Pai; David A. Landgrebe (IGARSS, 2003)

Gaussian mixture classifier with regularized covariance estimator for hyperspectral data classification. - Bor-Chen Kuo; Jinn-Min Yang; David A. Landgrebe (IGARSS, 2003)

A cost-effective semisupervised classifier approach with kernels. - Murat Dundar; David A. Landgrebe (IEEE Trans. Geosci. Remote. Sens., 2004)

Toward an optimal supervised classifier for the analysis of hyperspectral data. - Murat Dundar; David A. Landgrebe (IEEE Trans. Geosci. Remote. Sens., 2004)

Nonparametric weighted feature extraction for classification. - Bor-Chen Kuo; David A. Landgrebe (IEEE Trans. Geosci. Remote. Sens., 2004)

Multispectral land sensing: where from, where to? - David A. Landgrebe (IEEE Trans. Geosci. Remote. Sens., 2005)