David A. Landgrebe

According to our database, David A. Landgrebe authored at least 48 papers between 1976 and 2005.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2005

Multispectral land sensing: where from, where to?

David A. Landgrebe

IEEE Trans. Geosci. Remote. Sens., 2005

2004

Nonparametric weighted feature extraction for classification.

Bor-Chen Kuo, 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

A cost-effective semisupervised classifier approach with kernels.

Murat Dundar, David A. Landgrebe

IEEE Trans. Geosci. Remote. Sens., 2004

2003

Gaussian mixture classifier with regularized covariance estimator for hyperspectral data classification.

Bor-Chen Kuo, Jinn-Min Yang, David A. Landgrebe

Proceedings of the 2003 IEEE International Geoscience and Remote Sensing Symposium, 2003

Regularized feature extractions for hyperspectral data classification.

Bor-Chen Kuo, Li-Wei Ko, Chia-Hao Pai, David A. Landgrebe

Proceedings of the 2003 IEEE International Geoscience and Remote Sensing Symposium, 2003

Signal Theory Methods in Multispectral Remote Sensing

David A. Landgrebe

Wiley, ISBN: 978-0-47172380-6, 2003

2002

A process model for remote sensing data analysis.

Varun Madhok, 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 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

Adaptive Bayesian contextual classification based on Markov random fields.

Qiong Jackson, 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

A model-based mixture-supervised classification approach in hyperspectral data analysis.

Murat Dundar, David A. Landgrebe

IEEE Trans. Geosci. Remote. Sens., 2002

Hyperspectral image data analysis.

David A. Landgrebe

IEEE Signal Process. Mag., 2002

Regularized covariance estimators for hyperspectral data classification and its application to feature extraction.

Bor-Chen Kuo, David A. Landgrebe

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2002

Hyperspectral data classification using nonparametric weighted feature extraction.

Bor-Chen Kuo, David A. Landgrebe

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2002

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

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

2000

Robust parameter estimation for mixture model.

Saldju Tadjudin, David A. Landgrebe

IEEE Trans. Geosci. Remote. Sens., 2000

1999

Covariance estimation with limited training samples.

Saldju Tadjudin, 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

Decision fusion approach for multitemporal classification.

Byeungwoo Jeon, 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

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

1998

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

1997

Decision boundary feature extraction for neural networks.

Chulhee Lee, David A. Landgrebe

IEEE Trans. Neural Networks, 1997

1996

Covariance Matrix Estimation and Classification With Limited Training Data.

Joseph P. Hoffbeck, David A. Landgrebe

IEEE Trans. Pattern Anal. Mach. Intell., 1996

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

Proceedings of the Proceedings 1996 International Conference on Image Processing, 1996

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

Fast Parzen Density Estimation Using Clustering-Based Branch and Bound.

Byeungwoo Jeon, David A. Landgrebe

IEEE Trans. Pattern Anal. Mach. Intell., 1994

1993

Decision boundary feature extraction for nonparametric classification.

Chulhee Lee, David A. Landgrebe

IEEE Trans. Syst. Man Cybern., 1993

Analyzing high-dimensional multispectral data.

Chulhee Lee, David A. Landgrebe

IEEE Trans. Geosci. Remote. Sens., 1993

Feature Extraction Based on Decision Boundaries.

Chulhee Lee, David A. Landgrebe

IEEE Trans. Pattern Anal. Mach. Intell., 1993

1992

Classification with spatio-temporal interpixel class dependency contexts.

Byeungwoo Jeon, David A. Landgrebe

IEEE Trans. Geosci. Remote. Sens., 1992

1991

A survey of decision tree classifier methodology.

S. Rasoul Safavian, David A. Landgrebe

IEEE Trans. Syst. Man Cybern., 1991

An analytical model of Earth-observational remote sensing systems.

John P. Kerekes, David A. Landgrebe

IEEE Trans. Syst. Man Cybern., 1991

Fast likelihood classification.

Chulhee Lee, 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

Hierarchical classifier design in high-dimensional numerous class cases.

Byungyong Kim, David A. Landgrebe

IEEE Trans. Geosci. Remote. Sens., 1991

Parameter trade-offs for imaging spectroscopy systems [remote sensing].

John P. Kerekes, David A. Landgrebe

IEEE Trans. Geosci. Remote. Sens., 1991

1989

Use of robust estimators in parametric classifiers.

S. Rasoul Safavian, David A. Landgrebe

Proceedings of the IEEE International Conference on Systems, 1989

1987

Stochastic Model Utilizing Spectral and Spatial Characteristics.

H. M. Kalayeh, David A. Landgrebe

IEEE Trans. Pattern Anal. Mach. Intell., 1987

1985

Scanning the issue.

David A. Landgrebe

Proc. IEEE, 1985

1984

Adaptive Relaxation Labeling.

H. M. Kalayeh, David A. Landgrebe

IEEE Trans. Pattern Anal. Mach. Intell., 1984

1983

Predicting the Required Number of Training Samples.

H. M. Kalayeh, David A. Landgrebe

IEEE Trans. Pattern Anal. Mach. Intell., 1983

1981

Pixel Labeling by Supervised Probabilistic Relaxation.

J. A. Richards, David A. Landgrebe, Philip H. Swain

IEEE Trans. Pattern Anal. Mach. Intell., 1981

1980

The development of a spectral-spatial classifier for earth observational data.

David A. Landgrebe

Pattern Recognit., 1980

1976

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