D. Landgrebe

发表

On a Method for Estimating Power Spectra

T. Hsia, D. Landgrebe, 1967 .

Asymptotic improvement of supervised learning by utilizing additional unlabeled samples: normal mixture density case

David A. Landgrebe, Behzad M. Shahshahani, D. Landgrebe, 1992, Optics & Photonics.

Fast likelihood classification

David A. Landgrebe, Chulhee Lee, D. Landgrebe, 1991, IEEE Trans. Geosci. Remote. Sens..

Spectral feature design in high dimensional multispectral data

D. Landgrebe, Chih-Chien Thomas Chen, 1988 .

The K-L Expansion as an Effective Feature Ordering Technique for Limited Training Sample Size

D. Landgrebe, M. Muasher, 1983, IEEE Transactions on Geoscience and Remote Sensing.

A survey of decision tree classifier methodology

David A. Landgrebe, S. R. Safavian, S. Rasoul Safavian, 1991, IEEE Trans. Syst. Man Cybern..

Hierarchical Classification In High Dimensional, Numerous Class Cases

David A. Landgrebe, B. Kim, D. Landgrebe, 1990, 10th Annual International Symposium on Geoscience and Remote Sensing.

Feature Selection with Limited Training Samples

D. Landgrebe, M. Muasher, H. Kalayeh, 1983, IEEE Transactions on Geoscience and Remote Sensing.

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

David A. Landgrebe, Murat Dundar, D. Landgrebe, 2002, IEEE Trans. Geosci. Remote. Sens..

A method for estimating the number of components in a normal mixture density function

D. Landgrebe, J. Hoffbeck, 2000, IGARSS 2000. IEEE 2000 International Geoscience and Remote Sensing Symposium. Taking the Pulse of the Planet: The Role of Remote Sensing in Managing the Environment. Proceedings (Cat. No.00CH37120).

A cost-effective semisupervised classifier approach with kernels

David A. Landgrebe, Murat Dundar, D. Landgrebe, 2004, IEEE Transactions on Geoscience and Remote Sensing.

A covariance estimator for small sample size classification problems and its application to feature extraction

Bor-Chen Kuo, David A. Landgrebe, D. Landgrebe, 2002, IEEE Trans. Geosci. Remote. Sens..

Decision boundary feature extraction for nonparametric classification

David A. Landgrebe, Chulhee Lee, D. Landgrebe, 1993, IEEE Trans. Syst. Man Cybern..

Feature Selection Based on Decision Boundaries

D. Landgrebe, Chulhee Lee, 1991, [Proceedings] IGARSS'91 Remote Sensing: Global Monitoring for Earth Management.

The effect of unlabeled samples in reducing the small sample size problem and mitigating the Hughes phenomenon

David A. Landgrebe, Behzad M. Shahshahani, D. Landgrebe, 1994, IEEE Trans. Geosci. Remote. Sens..

Using Partially Labeled Data For Normal Mixture Identification With Application To Class Definition

Behzad M. Shahshahani, D. Landgrebe, 1992, [Proceedings] IGARSS '92 International Geoscience and Remote Sensing Symposium.

Automatic Boundary and Sample Classification of Remotely Sensed Multispectral Data

D. Landgrebe, R. Kettig, 1973 .

Covariance Matrix Estimation and Classification With Limited Training Data

David A. Landgrebe, Joseph P. Hoffbeck, D. Landgrebe, 1996, IEEE Trans. Pattern Anal. Mach. Intell..

Analysis Research for Earth Resource Information Systems: Where Do We Stand?

David A. Landgrebe, D. Landgrebe, 1973 .

Results of the 1971 Corn Blight Watch experiment

D. Landgrebe, M. Bauer, R. Macdonald, 1972 .

Boundaries in multispectral imagery by clustering

David A. Landgrebe, Arthur G. Wacker, A. G. Wacker, 1970 .

Fast Parzen Density Estimation Using Clustering-Based Branch and Bound

David A. Landgrebe, Byeungwoo Jeon, D. Landgrebe, 1994, IEEE Trans. Pattern Anal. Mach. Intell..

Analyzing high-dimensional multispectral data

David A. Landgrebe, Chulhee Lee, D. Landgrebe, 1993, IEEE Trans. Geosci. Remote. Sens..

CLASSIFICATION OF MULTISPECTRAL IMAGE DATA WITH SPATIAL-TEMPORAL CONTEXT

D. Landgrebe, B. Jeon, 1993 .

Classification of multispectral data by joint supervised-unsupervised learning

David A. Landgrebe, Behzad M. Shahshahani, D. Landgrebe, 1993 .

EARTH OBSERVATIONAL RESEARCH USING MULTISTAGE EOS-LIKE DATA

D. Landgrebe, C. Johannsen, 1993 .

On the accuracy of pixel relaxation labeling

P. Swain, D. Landgrebe, J. Richards, 1981 .

On the classification of classes with nearly equal spectral response in remote sensing hyperspectral image data

D. Landgrebe, V. Haertel, 1999, IEEE Trans. Geosci. Remote. Sens..

Minimum Distance Classification in Remote Sensing

A. G. Wacker, D. Landgrebe, 1972 .

부분 훈련 인식을 위한 최적 중요도 검증기법 ( Optimal Significance Testing for Partially Supervised Classification )

전병우, D. Landgrebe, 1999 .

Hyperspectral Data Characteristics

David A. Landgrebe, D. Landgrebe, 2005 .

INFERENCE AND DECISION-MAKING WITH PARTIAL KNOWLEDGE

S. R. Safavian, D. Landgrebe, 1995 .

Topics in inference and decision-making with partial knowledge

S. R. Safavian, D. Landgrebe, 1990 .

The Evolution of Landsat Data Analysis

D. Landgrebe, 1997 .

Multispectral land sensing: where from, where to?

D. Landgrebe, 2003, IEEE Workshop on Advances in Techniques for Analysis of Remotely Sensed Data, 2003.

A kernel-based supervised classifier for the analysis of hyperspectral data

D. Landgrebe, M. M. Dundar, 2003, IEEE Workshop on Advances in Techniques for Analysis of Remotely Sensed Data, 2003.

Machine Processing Methods for Earth Observational Data

D. Landgrebe, J. Nichols, F. Billingsley, 1973 .

On Information Extraction Principles for Hyperspectral Data

D. Landgrebe, 1997 .

Proceedings of the 4th IASME/WSEAS international conference on Energy & environment

Marco Ceccarelli, Miguel A. Mariño, David A. Landgrebe, 2009 .

The use of spatial characteristics for the improvement of multispectral classification of remotely sensed data

D. Landgrebe, D. J. Wiersma, D. Landgrebe, 1976 .

A study of the utilization of ERTS-1 data from the Wabash River Basin. [soil mapping, crop identification, water resources

D. Landgrebe, 1973 .

Gaussian mixture classifier with regularized covariance estimator for hyperspectral data classification

Bor-Chen Kuo, D. A. Landgrebe, D. Landgrebe, 2003, IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477).

Classification of High Dimensional Data

David A. Landgrebe, Pi-Fuei Hsieh, D. Landgrebe, 1998 .

Proceedings of the 8th WSEAS International Conference on Software engineering, parallel and distributed systems

Marco Ceccarelli, Leonid Perlovsky, John W. Lund, 2009 .

Proceedings of the 8th WSEAS international conference on Artificial intelligence, knowledge engineering and data bases

Marco Ceccarelli, Miguel A. Mariño, Kent Davey, 2009 .

Classification of remotely sensed image data using multi-type information

David A. Landgrebe, H. M. Kalayeh, D. Landgrebe, 1983 .

220 Band AVIRIS Hyperspectral Image Data Set: June 12, 1992 Indian Pine Test Site 3

M. F. Baumgardner, Larry L. Biehl, David A. Landgrebe, 2015 .

On Information Extraction Principles for Hyperspectral Data A White Paper

David A. Landgrebe, David A. Landgrebe, D. Landgrebe, 1997 .

Modeling, simulation, and analysis of optical remote sensing systems

David A. Landgrebe, John P. Kerekes, D. Landgrebe, 1989 .

A noise taxonomy for remote sensing systems

D. Landgrebe, J. Kerekes, 1987 .

Radiation and Sensor Systems in Remote Sensing

David A. Landgrebe, D. Landgrebe, 2005 .

On line object feature extraction for multispectral scene representation

David A. Landgrebe, Hassan Ghassemian, D. Landgrebe, 1988 .

IMAGE DATA BY EXTFACTICN AND L OF HCMCGENECUS

D. Landgrebe, R. Kettig, 2010 .

Classific ation of High Dimensional Data

D. Landgrebe, Pi-Fuei Hsieh, 1998 .

Signal Theory Methods in Multispectral Remote Sensing

David A. Landgrebe, D. Landgrebe, 2003 .

Hyperspectral image data analysis

David A. Landgrebe, D. Landgrebe, 2002, IEEE Signal Process. Mag..

A Multichannel Image Data Handling System For Agricultural Remote Sensing

T. L. Phillips, D. A. Landgrebe, D. Landgrebe, 1967, Other Conferences.

MultiSpec: a tool for multispectral--hyperspectral image data analysis

David A. Landgrebe, Larry Biehl, D. Landgrebe, 2002 .

Covariance estimation with limited training samples

David A. Landgrebe, Saldju Tadjudin, D. Landgrebe, 1999, IEEE Trans. Geosci. Remote. Sens..

Toward an optimal analysis of hyperspectral data

David A. Landgrebe, Mehmet M. Dundar, D. Landgrebe, 2003 .

Classification of high dimensional multispectral data

David A. Landgrebe, Joseph P. Hoffbeck, D. Landgrebe, 1995 .

Hyperspectral data analysis and supervised feature reduction via projection pursuit

David A. Landgrebe, Luis O. Jimenez, D. Landgrebe, 1999, IEEE Trans. Geosci. Remote. Sens..

Supervised classification in high-dimensional space: geometrical, statistical, and asymptotical properties of multivariate data

David A. Landgrebe, Luis O. Jimenez, D. Landgrebe, 1998, IEEE Trans. Syst. Man Cybern. Part C.

DESIGN OF PARTIALLY SUPERVISED CLASSIFIERS FOR MULTISPECTRAL IMAGE DATA

Byeungwoo Jeon, David A. Landgrebe, D. Landgrebe, 1993 .

Feature extraction and classification algorithms for high-dimensional data

David A. Landgrebe, Chulhee Lee, D. Landgrebe, 1992 .

Feature Extraction Based on Decision Boundaries

David A. Landgrebe, Chulhee Lee, D. Landgrebe, 1993, IEEE Trans. Pattern Anal. Mach. Intell..

Adaptive Bayesian contextual classification based on Markov random fields

Qiong Jackson, David A. Landgrebe, D. Landgrebe, 2002, IEEE International Geoscience and Remote Sensing Symposium.

Design of an Adaptive Classification Procedure for the Analysis of High-Dimensional Data with Limited Training Samples

David A. Landgrebe, Q. Jackson, D. Landgrebe, 2001 .

An Adaptive Reconstruction System for Spatially Correlated Multispectral Multitemporal Images

M. M. Crawford, S. Lee, D. Landgrebe, 1989, 12th Canadian Symposium on Remote Sensing Geoscience and Remote Sensing Symposium,.

Information processing of remotely sensed agricultural data

King-Sun Fu, T. L. Phillips, David A. Landgrebe, 1969 .

Partially supervised classification using weighted unsupervised clustering

David A. Landgrebe, Byeungwoo Jeon, D. Landgrebe, 1999, IEEE Trans. Geosci. Remote. Sens..

An adaptive classifier design for high-dimensional data analysis with a limited training data set

Qiong Jackson, David A. Landgrebe, D. Landgrebe, 2001, IEEE Trans. Geosci. Remote. Sens..

Decision fusion approach for multitemporal classification

David A. Landgrebe, Byeungwoo Jeon, D. Landgrebe, 1999, IEEE Trans. Geosci. Remote. Sens..

Spatio-temporal contextual classification of remotely sensed multispectral data

B. Jeon, David A. Landgrebe, D. Landgrebe, 1990, 1990 IEEE International Conference on Systems, Man, and Cybernetics Conference Proceedings.

An analytical model of Earth-observational remote sensing systems

David A. Landgrebe, John P. Kerekes, D. Landgrebe, 1991, IEEE Trans. Syst. Man Cybern..

Simulation of optical remote sensing systems

David A. Landgrebe, John P. Kerekes, D. Landgrebe, 1989 .

Nonparametric weighted feature extraction for classification

Bor-Chen Kuo, David A. Landgrebe, D. Landgrebe, 2004, IEEE Transactions on Geoscience and Remote Sensing.

Hyperspectral Image Data Analysis as a High Dimensional Signal Processing Problem

David A. Landgrebe, D. Landgrebe, 2002 .

High dimensional feature reduction via projection pursuit

David A. Landgrebe, L. O. Jimenez, D. Landgrebe, 1994, Proceedings of IGARSS '94 - 1994 IEEE International Geoscience and Remote Sensing Symposium.

Analyzing High Dimensional Data

David A. Landgrebe, Chulhee Lee, D. Landgrebe, 1992, [Proceedings] IGARSS '92 International Geoscience and Remote Sensing Symposium.

Predicting the Required Number of Training Samples

David A. Landgrebe, H. M. Kalayeh, D. Landgrebe, 1983, IEEE Transactions on Pattern Analysis and Machine Intelligence.

The application of remote sensing technology to the solution of problems in the management of resources in Indiana

D. A. Landgrebe, D. Landgrebe, 1973 .

Noise in Remote-Sensing Systems: The Effect on Classification Error

David Landgrebe, Erick Malaret, D. Landgrebe, 1986, IEEE Transactions on Geoscience and Remote Sensing.

An adaptive method for combined covariance estimation and classification

Qiong Jackson, David A. Landgrebe, D. Landgrebe, 2002, IEEE Trans. Geosci. Remote. Sens..

Information Extraction Principles and Methods for Multispectral and Hyperspectral Image Data

David A. Landgrebe, D. Landgrebe, 1999 .

A means for utilizing ancillary information in multispectral classification. [of remotely sensed data

David A. Landgrebe, John A. Richards, Philip H. Swain, 1982 .

Effect of radiance-to-reflectance transformation and atmosphere removal on maximum likelihood classification accuracy of high-dimensional remote sensing data

David A. Landgrebe, Joseph P. Hoffbeck, D. Landgrebe, 1994, Proceedings of IGARSS '94 - 1994 IEEE International Geoscience and Remote Sensing Symposium.

Remote sensing as a tool for achieving and monitoring progress toward sustainability

Bernard A. Engel, David A. Landgrebe, Larry Biehl, 2003 .

Classification of remote sensing images having high spectral resolution

David A. Landgrebe, Joseph P. Hoffbeck, D. Landgrebe, 1996 .

Classification of Multispectral Image Data by Extraction and Classification of Homogeneous Objects

R. Kettig, D. Landgrebe, D. Landgrebe, 1976, IEEE Transactions on Geoscience Electronics.

Proceedings of the 1st WSEAS international conference on Nanotechnology

Marco Ceccarelli, Miguel A. Mariño, Kent Davey, 2009, International Conference on Nanotechnology.

Proceedings of the 8th WSEAS international conference on Signal processing, robotics and automation

Marco Ceccarelli, Miguel A. Mariño, Kent Davey, 2009 .

Use of unlabeled samples for mitigating the Hughes phenomenon

David A. Landgrebe, Behzad M. Shahshahani, D. Landgrebe, 1993, Proceedings of IGARSS '93 - IEEE International Geoscience and Remote Sensing Symposium.

Parameter trade-offs for imaging spectroscopy systems

David A. Landgrebe, John P. Kerekes, D. Landgrebe, 1991 .

Improved statistics estimation and feature extraction for hyperspectral data classification

Bor-Chen Kuo, David A. Landgrebe, D. Landgrebe, 2001 .

Robust parameter estimation for mixture model

David A. Landgrebe, S. Tadjudin, D. Landgrebe, 1998, IGARSS '98. Sensing and Managing the Environment. 1998 IEEE International Geoscience and Remote Sensing. Symposium Proceedings. (Cat. No.98CH36174).

An empirical study of scanner system parameters

David A. Landgrebe, Larry L. Biehl, D. Landgrebe, 1977, IEEE Transactions on Geoscience Electronics.

Spectral band selection for classification of soil organic matter content

David A. Landgrebe, M. F. Baumgardner, Tracey L. Henderson, 1989 .

Classification with spatio-temporal interpixel class dependency contexts

D.A. Landgrebe, B. Jeon, D. Landgrebe, 1992, IEEE Trans. Geosci. Remote. Sens..

Test of spectral/spatial classifier

D. A. Landgrebe, B. J. Davis, J. L. Kast, 1977 .

The minimum distance approach to classification

David A. Landgrebe, A. G. Wacker, D. Landgrebe, 1971 .

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

David A. Landgrebe, D. Landgrebe, 1980, Pattern Recognit..

Toward an optimal supervised classifier for the analysis of hyperspectral data

David A. Landgrebe, Murat Dundar, D. Landgrebe, 2004, IEEE Transactions on Geoscience and Remote Sensing.

A Novel Feature Derivation Technique for SVM based Hyper Spectral Image Classification

Jocelyn Chanussot, Jón Atli Benediktsson, Yuliya Tarabalka, 2017 .

Covariance estimation for limited training samples

A robust classification procedure based on mixture classifiers and nonparametric weighted feature extraction

Bor-Chen Kuo, David A. Landgrebe, D. Landgrebe, 2002, IEEE Trans. Geosci. Remote. Sens..

Agricultural scene understanding and supporting field research, volume 1

D. Landgrebe, L. Biehl, M. Bauer, 1979 .

Hierarchical classifier design in high-dimensional numerous class cases

David A. Landgrebe, Byungyong Kim, D. Landgrebe, 1991, IEEE Trans. Geosci. Remote. Sens..

HYPERSPECTRAL DATA ANALYSIS AND FEATURE REDUCTION VIA PROJECTION PURSUIT

David A. Landgrebe, L. O. Jimenez, D. Landgrebe, 1999 .

Decision boundary feature extraction for neural networks

David A. Landgrebe, Chulhee Lee, D. Landgrebe, 1992, [Proceedings] 1992 IEEE International Conference on Systems, Man, and Cybernetics.

Some fundamentals and methods for hyperspectral image data analysis

David A. Landgrebe, D. Landgrebe, 1999, Photonics West - Biomedical Optics.

Stochastic Model Utilizing Spectral and Spatial Characteristics

David A. Landgrebe, H. M. Kalayeh, D. Landgrebe, 1987, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Toward an optimal analysis of hyperspectral data

D. Landgrebe, M. M. Dundar, 2003 .

A Binary Tree Feature Selection Technique for Limited Training Sample Size

David A. Landgrebe, D. Landgrebe, M. J. Washer, 1984 .

Projection pursuit in high dimensional data reduction: initial conditions, feature selection and the assumption of normality

David A. Landgrebe, L. O. Jimenez, D. Landgrebe, 1995, 1995 IEEE International Conference on Systems, Man and Cybernetics. Intelligent Systems for the 21st Century.

GEOMETRIC REGISTRATION AND CLASSIFICATION OF HYPERSPECTRAL AIRBORNE PUSHBROOM DATA

David A. Landgrebe, Chulhee Lee, James Bethel, 2000 .

Supplementing hyperspectral data with digital elevation

David A. Landgrebe, V. Madhok, D. Landgrebe, 1999, IEEE 1999 International Geoscience and Remote Sensing Symposium. IGARSS'99 (Cat. No.99CH36293).

Remote sensing: The quantitative approach

D. Landgrebe, J. Lindenlaub, S. M. Davis, 1978 .

RSSIM: A Simulation Program for Optical Remote Sensing Systems

David A. Landgrebe, John P. Kerekes, D. Landgrebe, 1989 .

Simulation techniques for estimating error in the classification of normal patterns

S. J. Whitsitt, D. A. Landgrebe, D. Landgrebe, 1974 .