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David A. Landgrebe
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- affiliation: Purdue University, West Lafayette, USA
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2000 – 2009
- 2005
- [j41]David A. Landgrebe:
Multispectral land sensing: where from, where to? IEEE Trans. Geosci. Remote. Sens. 43(3): 414-421 (2005) - 2004
- [j40]Murat Dundar, David A. Landgrebe:
A cost-effective semisupervised classifier approach with kernels. IEEE Trans. Geosci. Remote. Sens. 42(1): 264-270 (2004) - [j39]Murat Dundar, David A. Landgrebe:
Toward an optimal supervised classifier for the analysis of hyperspectral data. IEEE Trans. Geosci. Remote. Sens. 42(1): 271-277 (2004) - [j38]Bor-Chen Kuo, David A. Landgrebe:
Nonparametric weighted feature extraction for classification. IEEE Trans. Geosci. Remote. Sens. 42(5): 1096-1105 (2004) - 2003
- [b1]David A. Landgrebe:
Signal Theory Methods in Multispectral Remote Sensing. Wiley 2003, ISBN 978-0-47142028-6, pp. 1-508 - [c7]Bor-Chen Kuo, Jinn-Min Yang, David A. Landgrebe:
Gaussian mixture classifier with regularized covariance estimator for hyperspectral data classification. IGARSS 2003: 276-278 - [c6]Bor-Chen Kuo, Li-Wei Ko, Chia-Hao Pai, David A. Landgrebe:
Regularized feature extractions for hyperspectral data classification. IGARSS 2003: 1767-1769 - 2002
- [j37]David A. Landgrebe:
Hyperspectral image data analysis. IEEE Signal Process. Mag. 19(1): 17-28 (2002) - [j36]Varun Madhok, David A. Landgrebe:
A process model for remote sensing data analysis. IEEE Trans. Geosci. Remote. Sens. 40(3): 680-686 (2002) - [j35]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): 814-819 (2002) - [j34]Qiong Jackson, David A. Landgrebe:
An adaptive method for combined covariance estimation and classification. IEEE Trans. Geosci. Remote. Sens. 40(5): 1082-1087 (2002) - [j33]Qiong Jackson, David A. Landgrebe:
Adaptive Bayesian contextual classification based on Markov random fields. IEEE Trans. Geosci. Remote. Sens. 40(11): 2454-2463 (2002) - [j32]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): 2486-2494 (2002) - [j31]Murat Dundar, David A. Landgrebe:
A model-based mixture-supervised classification approach in hyperspectral data analysis. IEEE Trans. Geosci. Remote. Sens. 40(12): 2692-2699 (2002) - [c5]Qiong Jackson, David A. Landgrebe:
Adaptive Bayesian contextual classification based on Markov random fields. IGARSS 2002: 1422-1424 - [c4]Bor-Chen Kuo, David A. Landgrebe:
Hyperspectral data classification using nonparametric weighted feature extraction. IGARSS 2002: 1428-1430 - [c3]Bor-Chen Kuo, David A. Landgrebe:
Regularized covariance estimators for hyperspectral data classification and its application to feature extraction. IGARSS 2002: 3510-3512 - 2001
- [j30]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): 1343-1345 (2001) - [j29]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): 2664-2679 (2001) - 2000
- [j28]Saldju Tadjudin, David A. Landgrebe:
Robust parameter estimation for mixture model. IEEE Trans. Geosci. Remote. Sens. 38(1): 439-445 (2000)
1990 – 1999
- 1999
- [j27]Byeungwoo Jeon, David A. Landgrebe:
Partially supervised classification using weighted unsupervised clustering. IEEE Trans. Geosci. Remote. Sens. 37(2): 1073-1079 (1999) - [j26]Byeungwoo Jeon, David A. Landgrebe:
Decision fusion approach for multitemporal classification. IEEE Trans. Geosci. Remote. Sens. 37(3): 1227-1233 (1999) - [j25]Saldju Tadjudin, David A. Landgrebe:
Covariance estimation with limited training samples. IEEE Trans. Geosci. Remote. Sens. 37(4): 2113-2118 (1999) - [j24]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): 2374-2386 (1999) - [j23]Luis O. Jimenez, David A. Landgrebe:
Hyperspectral data analysis and supervised feature reduction via projection pursuit. IEEE Trans. Geosci. Remote. Sens. 37(6): 2653-2667 (1999) - 1998
- [j22]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): 39-54 (1998) - 1997
- [j21]Chulhee Lee, David A. Landgrebe:
Decision boundary feature extraction for neural networks. IEEE Trans. Neural Networks 8(1): 75-83 (1997) - 1996
- [j20]Joseph P. Hoffbeck, David A. Landgrebe:
Covariance Matrix Estimation and Classification With Limited Training Data. IEEE Trans. Pattern Anal. Mach. Intell. 18(7): 763-767 (1996) - [c2]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: 449-452 - 1994
- [j19]Byeungwoo Jeon, David A. Landgrebe:
Fast Parzen Density Estimation Using Clustering-Based Branch and Bound. IEEE Trans. Pattern Anal. Mach. Intell. 16(9): 950-954 (1994) - [j18]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): 1087-1095 (1994) - 1993
- [j17]Chulhee Lee, David A. Landgrebe:
Feature Extraction Based on Decision Boundaries. IEEE Trans. Pattern Anal. Mach. Intell. 15(4): 388-400 (1993) - [j16]Chulhee Lee, David A. Landgrebe:
Analyzing high-dimensional multispectral data. IEEE Trans. Geosci. Remote. Sens. 31(4): 792-800 (1993) - [j15]Chulhee Lee, David A. Landgrebe:
Decision boundary feature extraction for nonparametric classification. IEEE Trans. Syst. Man Cybern. 23(2): 433-444 (1993) - 1992
- [j14]Byeungwoo Jeon, David A. Landgrebe:
Classification with spatio-temporal interpixel class dependency contexts. IEEE Trans. Geosci. Remote. Sens. 30(4): 663-672 (1992) - 1991
- [j13]John P. Kerekes, David A. Landgrebe:
Parameter trade-offs for imaging spectroscopy systems [remote sensing]. IEEE Trans. Geosci. Remote. Sens. 29(1): 57-65 (1991) - [j12]Chulhee Lee, David A. Landgrebe:
An adaptive reconstruction system for spatially correlated multispectral multitemporal images. IEEE Trans. Geosci. Remote. Sens. 29(4): 494-508 (1991) - [j11]Chulhee Lee, David A. Landgrebe:
Fast likelihood classification. IEEE Trans. Geosci. Remote. Sens. 29(4): 509-517 (1991) - [j10]Byungyong Kim, David A. Landgrebe:
Hierarchical classifier design in high-dimensional numerous class cases. IEEE Trans. Geosci. Remote. Sens. 29(4): 518-528 (1991) - [j9]John P. Kerekes, David A. Landgrebe:
An analytical model of Earth-observational remote sensing systems. IEEE Trans. Syst. Man Cybern. 21(1): 125-133 (1991) - [j8]S. Rasoul Safavian, David A. Landgrebe:
A survey of decision tree classifier methodology. IEEE Trans. Syst. Man Cybern. 21(3): 660-674 (1991)
1980 – 1989
- 1989
- [c1]S. Rasoul Safavian, David A. Landgrebe:
Use of robust estimators in parametric classifiers. SMC 1989: 356-357 - 1987
- [j7]H. M. Kalayeh, David A. Landgrebe:
Stochastic Model Utilizing Spectral and Spatial Characteristics. IEEE Trans. Pattern Anal. Mach. Intell. 9(3): 457-461 (1987) - 1985
- [j6]David A. Landgrebe:
Scanning the issue. Proc. IEEE 73(6): 947-949 (1985) - 1984
- [j5]H. M. Kalayeh, David A. Landgrebe:
Adaptive Relaxation Labeling. IEEE Trans. Pattern Anal. Mach. Intell. 6(3): 369-372 (1984) - 1983
- [j4]H. M. Kalayeh, David A. Landgrebe:
Predicting the Required Number of Training Samples. IEEE Trans. Pattern Anal. Mach. Intell. 5(6): 664-667 (1983) - 1981
- [j3]J. A. Richards, David A. Landgrebe, Philip H. Swain:
Pixel Labeling by Supervised Probabilistic Relaxation. IEEE Trans. Pattern Anal. Mach. Intell. 3(2): 188-191 (1981) - 1980
- [j2]David A. Landgrebe:
The development of a spectral-spatial classifier for earth observational data. Pattern Recognit. 12(3): 165-175 (1980)
1970 – 1979
- 1976
- [j1]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): 102-105 (1976)
Coauthor Index
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