Regularized Feature Extractions for Hyperspectral Data Classification

International Geoscience and Remote Sensing Symposium (IGARSS)

Volumn 3, Issue , 2003, Pages 1767-1769

  Kuo, Bor Chen ^a   Ko, Li Wei ^a   Pai, Chia Hao ^a   Landgrebe, David A ^b  

^a NATIONAL TAICHUNG UNIVERSITY OF EDUCATION   (Taiwan)

^b PURDUE UNIVERSITY   (United States)

Author keywords

Feature extraction; Hyperspectral data classification; Regularization

Indexed keywords

ALGORITHMS; CLASSIFICATION (OF INFORMATION); COMPUTER SIMULATION; MATRIX ALGEBRA; PERTURBATION TECHNIQUES;

DATA SETS; WITHIN-CLASS SCATTER MATRICES;

FEATURE EXTRACTION;

EID: 0242710914     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (7)

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2. K. Fukunaga, "Introduction to statistical pattern recognition, " San Diego: Academic Press Inc., 1990.
3. B-C. Kuo and D.A. Landgrebe, "A covariance estimator for small sample size classification problems and its application to feature extraction," IEEE Transactions on Geoscience and Remote Sensing, Vol. 40, No. 4, pp 814-819, April 2002.
4. Z-Q Hong and J-Y Yang, "Optimal discriminant plane for a small number of samples", Pattern Recognition, vol. 24, no.4, 1991, pp.317-324.
5. B-C. Kuo and D. A. Landgrebe, "Regularized covariance estimators for hyperspectral data classification and its application to feature extraction," International Geoscience and Remote Sensing Symposium, Toronto, Canada, June 24-28, 2002.
6. B-C. Kuo and D. A. Landgrebe, "Improved statistics estimation and feature extraction for hyperspectral data classification," Purdue University, West Lafayette, IN., Technical Report. TR-ECE 01-6, December 2001.
7. S. Tadjudin and D.A. Landgrebe, "Classification of high dimensional data with limited training samples", Purdue University, West Lafayette, IN., TR-EE 98-8, April, 1998.