David A. Landgrebe

Publication Activity (10 Years)

Years Active: 1976-2005
Publications (10 Years): 0

Publications

David A. Landgrebe
Multispectral land sensing: where from, where to? IEEE Trans. Geosci. Remote. Sens. 43 (3) (2005)
Bor-Chen Kuo, David A. Landgrebe
Nonparametric weighted feature extraction for classification. IEEE Trans. Geosci. Remote. Sens. 42 (5) (2004)
Murat Dundar, David A. Landgrebe
A cost-effective semisupervised classifier approach with kernels. IEEE Trans. Geosci. Remote. Sens. 42 (1) (2004)
Murat Dundar, David A. Landgrebe
Toward an optimal supervised classifier for the analysis of hyperspectral data. IEEE Trans. Geosci. Remote. Sens. 42 (1) (2004)
Bor-Chen Kuo, Li-Wei Ko, Chia-Hao Pai, David A. Landgrebe
Regularized feature extractions for hyperspectral data classification. IGARSS (2003)
Bor-Chen Kuo, Jinn-Min Yang, David A. Landgrebe
Gaussian mixture classifier with regularized covariance estimator for hyperspectral data classification. IGARSS (2003)
Bor-Chen Kuo, David A. Landgrebe
A covariance estimator for small sample size classification problems and its application to feature extraction. IEEE Trans. Geosci. Remote. Sens. 40 (4) (2002)
Varun Madhok, David A. Landgrebe
A process model for remote sensing data analysis. IEEE Trans. Geosci. Remote. Sens. 40 (3) (2002)
Bor-Chen Kuo, David A. Landgrebe
Hyperspectral data classification using nonparametric weighted feature extraction. IGARSS (2002)
Qiong Jackson, David A. Landgrebe
Adaptive Bayesian contextual classification based on Markov random fields. IGARSS (2002)
Bor-Chen Kuo, David A. Landgrebe
A robust classification procedure based on mixture classifiers and nonparametric weighted feature extraction. IEEE Trans. Geosci. Remote. Sens. 40 (11) (2002)
Murat Dundar, David A. Landgrebe
A model-based mixture-supervised classification approach in hyperspectral data analysis. IEEE Trans. Geosci. Remote. Sens. 40 (12) (2002)
David A. Landgrebe
Hyperspectral image data analysis. IEEE Signal Process. Mag. 19 (1) (2002)
Qiong Jackson, David A. Landgrebe
Adaptive Bayesian contextual classification based on Markov random fields. IEEE Trans. Geosci. Remote. Sens. 40 (11) (2002)
Bor-Chen Kuo, David A. Landgrebe
Regularized covariance estimators for hyperspectral data classification and its application to feature extraction. IGARSS (2002)
Qiong Jackson, David A. Landgrebe
An adaptive method for combined covariance estimation and classification. IEEE Trans. Geosci. Remote. Sens. 40 (5) (2002)
Qiong Jackson, David A. Landgrebe
An adaptive classifier design for high-dimensional data analysis with a limited training data set. IEEE Trans. Geosci. Remote. Sens. 39 (12) (2001)
David A. Landgrebe, Sebastiano B. Serpico, Melba M. Crawford, Vern Singhroy
Introduction to the special issue on analysis of hyperspectral image data. IEEE Trans. Geosci. Remote. Sens. 39 (7) (2001)
Saldju Tadjudin, David A. Landgrebe
Robust parameter estimation for mixture model. IEEE Trans. Geosci. Remote. Sens. 38 (1) (2000)
Byeungwoo Jeon, David A. Landgrebe
Decision fusion approach for multitemporal classification. IEEE Trans. Geosci. Remote. Sens. 37 (3) (1999)
Saldju Tadjudin, David A. Landgrebe
Covariance estimation with limited training samples. IEEE Trans. Geosci. Remote. Sens. 37 (4) (1999)
Victor Haertel, David A. Landgrebe
On the classification of classes with nearly equal spectral response in remote sensing hyperspectral image data. IEEE Trans. Geosci. Remote. Sens. 37 (5) (1999)
Luis O. Jimenez, David A. Landgrebe
Hyperspectral data analysis and supervised feature reduction via projection pursuit. IEEE Trans. Geosci. Remote. Sens. 37 (6) (1999)
Byeungwoo Jeon, David A. Landgrebe
Partially supervised classification using weighted unsupervised clustering. IEEE Trans. Geosci. Remote. Sens. 37 (2) (1999)
Luis O. Jimenez, David A. Landgrebe
Supervised classification in high-dimensional space: geometrical, statistical, and asymptotical properties of multivariate data. IEEE Trans. Syst. Man Cybern. Part C 28 (1) (1998)
Chulhee Lee, David A. Landgrebe
Decision boundary feature extraction for neural networks. IEEE Trans. Neural Networks 8 (1) (1997)
Joseph P. Hoffbeck, David A. Landgrebe
Covariance Matrix Estimation and Classification With Limited Training Data. IEEE Trans. Pattern Anal. Mach. Intell. 18 (7) (1996)
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
Video and image systems engineering education for the 21st century. ICIP (1) (1996)
Byeungwoo Jeon, David A. Landgrebe
Fast Parzen Density Estimation Using Clustering-Based Branch and Bound. IEEE Trans. Pattern Anal. Mach. Intell. 16 (9) (1994)
Behzad M. Shahshahani, David A. Landgrebe
The effect of unlabeled samples in reducing the small sample size problem and mitigating the Hughes phenomenon. IEEE Trans. Geosci. Remote. Sens. 32 (5) (1994)
Chulhee Lee, David A. Landgrebe
Feature Extraction Based on Decision Boundaries. IEEE Trans. Pattern Anal. Mach. Intell. 15 (4) (1993)
Chulhee Lee, David A. Landgrebe
Analyzing high-dimensional multispectral data. IEEE Trans. Geosci. Remote. Sens. 31 (4) (1993)
Chulhee Lee, David A. Landgrebe
Decision boundary feature extraction for nonparametric classification. IEEE Trans. Syst. Man Cybern. 23 (2) (1993)
Byeungwoo Jeon, David A. Landgrebe
Classification with spatio-temporal interpixel class dependency contexts. IEEE Trans. Geosci. Remote. Sens. 30 (4) (1992)
S. Rasoul Safavian, David A. Landgrebe
A survey of decision tree classifier methodology. IEEE Trans. Syst. Man Cybern. 21 (3) (1991)
Chulhee Lee, David A. Landgrebe
Fast likelihood classification. IEEE Trans. Geosci. Remote. Sens. 29 (4) (1991)
John P. Kerekes, David A. Landgrebe
An analytical model of Earth-observational remote sensing systems. IEEE Trans. Syst. Man Cybern. 21 (1) (1991)
John P. Kerekes, David A. Landgrebe
Parameter trade-offs for imaging spectroscopy systems [remote sensing]. IEEE Trans. Geosci. Remote. Sens. 29 (1) (1991)
Chulhee Lee, David A. Landgrebe
An adaptive reconstruction system for spatially correlated multispectral multitemporal images. IEEE Trans. Geosci. Remote. Sens. 29 (4) (1991)
Byungyong Kim, David A. Landgrebe
Hierarchical classifier design in high-dimensional numerous class cases. IEEE Trans. Geosci. Remote. Sens. 29 (4) (1991)
S. Rasoul Safavian, David A. Landgrebe
Use of robust estimators in parametric classifiers. SMC (1989)
H. M. Kalayeh, David A. Landgrebe
Stochastic Model Utilizing Spectral and Spatial Characteristics. IEEE Trans. Pattern Anal. Mach. Intell. 9 (3) (1987)
David A. Landgrebe
Scanning the issue. Proc. IEEE 73 (6) (1985)
H. M. Kalayeh, David A. Landgrebe
Adaptive Relaxation Labeling. IEEE Trans. Pattern Anal. Mach. Intell. 6 (3) (1984)
H. M. Kalayeh, David A. Landgrebe
Predicting the Required Number of Training Samples. IEEE Trans. Pattern Anal. Mach. Intell. 5 (6) (1983)
J. A. Richards, David A. Landgrebe, Philip H. Swain
Pixel Labeling by Supervised Probabilistic Relaxation. IEEE Trans. Pattern Anal. Mach. Intell. 3 (2) (1981)
David A. Landgrebe
The development of a spectral-spatial classifier for earth observational data. Pattern Recognit. 12 (3) (1980)
David S. Moore, Stephen J. Whitsitt, David A. Landgrebe
Variance comparisons for unbiased estimators of probability of correct classification (Corresp.). IEEE Trans. Inf. Theory 22 (1) (1976)