A novel non-parametric weighted feature extraction method for classification of hyperspectral image with limited training samples

International Geoscience and Remote Sensing Symposium (IGARSS)

Volumn , Issue , 2007, Pages 1552-1555

  Yang, Jinn Min ^a   Yu, Pao Ta ^a   Kuo, Bor Chen ^b   Huang, Hsiao Yun ^c  

^a NATIONAL CHUNG CHENG UNIVERSITY   (Taiwan)

^b NATIONAL TAICHUNG UNIVERSITY OF EDUCATION   (Taiwan)

^c FU JEN CATHOLIC UNIVERSITY   (Taiwan)

Author keywords

Feature extraction; Hyperspectral data classification; Small sample size

Indexed keywords

HYPERSPECTRAL DATA CLASSIFICATION; HYPERSPECTRAL IMAGE; NONPARAMETRIC DISCRIMINANT ANALYSIS (NDA); NONPARAMETRIC WEIGHTED FEATURE EXTRACTION (NWFE);

DATA REDUCTION; DISCRIMINANT ANALYSIS; FEATURE EXTRACTION;

IMAGE CLASSIFICATION;

EID: 82355181437     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IGARSS.2007.4423106     Document Type: Conference Paper

References (5)

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3. B-C. Kuo and D.A. Landgrebe, "Nonparametric Weighted Feature Extraction for Classification," IEEE Trans. on Geoscience and Remote Sensing, vol. 42, no. 5, pp. 1096-1105, May 2004.
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5. B.-C. Kuo, K.-Y Chang. " Feature Extractions for Small Sample Size Classification Problem", IEEE Trans. on Geoscience and Remote Sensing, vol. 45, no. 3, pp. 756-764, March 2007.