Applying automatic kernel parameter selection method to the full bandwidth RBF kernel function for hyperspectral image classification

2014 IEEE Geoscience and Remote Sensing Symposium ◽

10.1109/igarss.2014.6947222 ◽

2014 ◽

Author(s):

Kai-Ching Chen ◽

Cheng-Hsuan Li ◽

Bor-Chen Kuo ◽

Min-Shian Wang

Keyword(s):

Image Classification ◽

Kernel Function ◽

Hyperspectral Image ◽

Selection Method ◽

Parameter Selection ◽

Hyperspectral Image Classification ◽

Kernel Parameter ◽

Rbf Kernel Function

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An automatic kernel parameter selection method for kernel nonparametric weighted feature extraction with the RBF kernel for hyperspectral image classification

2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) ◽

10.1109/igarss.2015.7326116 ◽

2015 ◽

Author(s):

Pei-Jyun Hsieh ◽

Cheng-Hsuan Li ◽

Bor-Chen Kuo ◽

Pei-Ling Tsai

Keyword(s):

Feature Extraction ◽

Image Classification ◽

Hyperspectral Image ◽

Selection Method ◽

Parameter Selection ◽

Hyperspectral Image Classification ◽

Kernel Parameter ◽

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Apply an automatic parameter selection method to generalized discriminant analysis with RBF kernel for hyperspectral image classification

2013 International Conference on Machine Learning and Cybernetics ◽

10.1109/icmlc.2013.6890477 ◽

2013 ◽

Author(s):

Cheng-Hsuan Li ◽

Bor-Chen Kuo ◽

Li-Hui Lin ◽

Wei Wu ◽

Dexin Lan

Keyword(s):

Discriminant Analysis ◽

Image Classification ◽

Hyperspectral Image ◽

Selection Method ◽

Parameter Selection ◽

Hyperspectral Image Classification ◽

Generalized Discriminant Analysis

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A Kernel-Based Feature Selection Method for SVM With RBF Kernel for Hyperspectral Image Classification

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing ◽

10.1109/jstars.2013.2262926 ◽

2014 ◽

Vol 7 (1) ◽

pp. 317-326 ◽

Author(s):

Bor-Chen Kuo ◽

Hsin-Hua Ho ◽

Cheng-Hsuan Li ◽

Chih-Cheng Hung ◽

Jin-Shiuh Taur

Keyword(s):

Feature Selection ◽

Image Classification ◽

Hyperspectral Image ◽

Feature Selection Method ◽

Selection Method ◽

Hyperspectral Image Classification ◽

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A Band Selection Method for Hyperspectral Image Classification based on improved Particle Swarm Optimization

International Journal of Signal Processing Image Processing and Pattern Recognition ◽

10.14257/ijsip.2015.8.4.28 ◽

2015 ◽

Vol 8 (4) ◽

pp. 325-338 ◽

Author(s):

Jie Shen ◽

Chao Wang ◽

Ruili Wang ◽

Fengchen Huang ◽

Chao Fan ◽

...

Keyword(s):

Particle Swarm Optimization ◽

Image Classification ◽

Hyperspectral Image ◽

Particle Swarm ◽

Selection Method ◽

Band Selection ◽

Hyperspectral Image Classification ◽

Swarm Optimization ◽

Improved Particle Swarm Optimization

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An effective feature selection method for hyperspectral image classification based on genetic algorithm and support vector machine

Knowledge-Based Systems ◽

10.1016/j.knosys.2010.07.003 ◽

2011 ◽

Vol 24 (1) ◽

pp. 40-48 ◽

Author(s):

Shijin Li ◽

Hao Wu ◽

Dingsheng Wan ◽

Jiali Zhu

Keyword(s):

Genetic Algorithm ◽

Support Vector Machine ◽

Feature Selection ◽

Image Classification ◽

Hyperspectral Image ◽

Feature Selection Method ◽

Selection Method ◽

Support Vector ◽

Hyperspectral Image Classification

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Hyperspectral image classification based on NMF Features Selection Method

10.1117/12.2050072 ◽

2013 ◽

Author(s):

Bolanle T. Abe ◽

J. A. Jordaan

Keyword(s):

Image Classification ◽

Hyperspectral Image ◽

Selection Method ◽

Features Selection ◽

Hyperspectral Image Classification

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Weighted kernel function implementation for hyperspectral image classification based on Support Vector Machine

International Conference on Instrumentation, Communication, Information Technology, and Biomedical Engineering 2009 ◽

10.1109/icici-bme.2009.5417293 ◽

2009 ◽

Author(s):

Rully Soelaiman ◽

Dommy Asfiandy ◽

Yudhi Purwananto ◽

Mauridhi H. Purnomo

Keyword(s):

Support Vector Machine ◽

Image Classification ◽

Kernel Function ◽

Hyperspectral Image ◽

Support Vector ◽

Hyperspectral Image Classification ◽

Weighted Kernel

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A hypergraph based semi-supervised band selection method for hyperspectral image classification

2013 IEEE International Conference on Image Processing ◽

10.1109/icip.2013.6738646 ◽

2013 ◽

Author(s):

Zhouxiao Guo ◽

Xiao Bai ◽

Zhihong Zhang ◽

Jun Zhou

Keyword(s):

Image Classification ◽

Hyperspectral Image ◽

Selection Method ◽

Band Selection ◽

Hyperspectral Image Classification

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SVM parameter selection based on harmony search with an application to hyperspectral image classification

2016 24th Signal Processing and Communication Application Conference (SIU) ◽

10.1109/siu.2016.7495825 ◽

2016 ◽

Author(s):

Oguzhan Ceylan ◽

Gulsen Taskin

Keyword(s):

Image Classification ◽

Hyperspectral Image ◽

Harmony Search ◽

Parameter Selection ◽

Hyperspectral Image Classification

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A nonlinear feature selection method based on kernel separability measure for hyperspectral image classification

2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) ◽

10.1109/igarss.2015.7325800 ◽

2015 ◽

Author(s):

Pei-Jyun Hsieh ◽

Cheng-Hsuan Li ◽

Bor-Chen Kuo

Keyword(s):

Feature Selection ◽

Image Classification ◽

Hyperspectral Image ◽

Feature Selection Method ◽

Selection Method ◽

Hyperspectral Image Classification ◽

Nonlinear Feature

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