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Hsiao-Yun Huang (Selection)

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8Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLI-Ling Chen, Cheng-Hsuan Li, Bor-Chen Kuo, Hsiao-Yun Huang: Applying optimal algorithm to data-dependent kernel for hyperspectral image classification. IGARSS 2010: 2808-2811
6Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLHsiao-Yun Huang, Bor-Chen Kuo: Double Nearest Proportion Feature Extraction for Hyperspectral-Image Classification. IEEE T. Geoscience and Remote Sensing 48(11): 4034-4046 (2010)
5Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLHsiao-Yun Huang, Bor-Chen Kuo, Jeng-Fu Liu, Nanping Yang: Localized Shrinkage Covariance Estimation of Hyperspectral Image Classification. IGARSS (4) 2009: 538-541
4Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLHsiao-Yun Huang, Bor-Chen Kuo, Yu-Ling Li: Adaboost-NWFE Classification Scheme for Hyperspectral Image. IGARSS (2) 2008: 942-945
3Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLJinn-Min Yang, Bor-Chen Kuo, Hsiao-Yun Huang, Pao-Ta Yu: A novel non-parametric weighted feature extraction method for classification of hyperspectral image with limited training samples. IGARSS 2007: 1552-1555
2Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLHsiao-Yun Huang, Bor-Chen Kuo, Hsiang-Chuan Liu, Yu-Lung Liu: SLEX-NWFE feature extraction method for hyperspectral image classification. IGARSS 2007: 3210-3214
1Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLHsiao-Yun Huang, Hsiang-Chuan Liu, Bor-Chen Kuo, Tien-Yu Hsieh: Hyperspectral Image Classification Using Multi-Class SLEX Model. IGARSS 2006: 553-556

Selection of 7 from 10 records - Hsiao-Yun Huang has 18 coauthors

Last update 2012-09-10 CET by the DBLP TeamThis material is Open Data Content released under the ODC-BY 1.0 license — See also our legal information page