Marker Selection using Support Vector Machine Over-fitting for Very Low Training Sample Analysis of Hyperspectral Image Classification

Farid Muhammad Imran

doi:10.14257/ijsip.2015.8.10.02

Marker Selection using Support Vector Machine Over-fitting for Very Low Training Sample Analysis of Hyperspectral Image Classification

International Journal of Signal Processing Image Processing and Pattern Recognition ◽

10.14257/ijsip.2015.8.10.02 ◽

2015 ◽

Vol 8 (10) ◽

pp. 11-18

Author(s):

Farid Muhammad Imran

Keyword(s):

Support Vector Machine ◽

Image Classification ◽

Hyperspectral Image ◽

Training Sample ◽

Support Vector ◽

Sample Analysis ◽

Hyperspectral Image Classification ◽

Marker Selection

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Marker Selection using Skeletonization for very Low Training Sample Analysis of Hyperspectral Image Classification

International Journal of Hybrid Information Technology ◽

10.14257/ijhit.2015.8.9.05 ◽

2015 ◽

Vol 8 (9) ◽

pp. 43-52

Author(s):

Farid Muhammad Imran ◽

Mingyi He

Keyword(s):

Image Classification ◽

Hyperspectral Image ◽

Training Sample ◽

Sample Analysis ◽

Hyperspectral Image Classification ◽

Marker Selection

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Iterative Support Vector Machine for Hyperspectral Image Classification

2018 25th IEEE International Conference on Image Processing (ICIP) ◽

10.1109/icip.2018.8451145 ◽

2018 ◽

Cited By ~ 5

Author(s):

Shengwei Zhong ◽

Chein-I Chang ◽

Ye Zhang

Keyword(s):

Support Vector Machine ◽

Image Classification ◽

Hyperspectral Image ◽

Support Vector ◽

Hyperspectral Image Classification

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Hyperspectral Image Classification Using Stochastic Gradient Descent Based Support Vector Machine

Learning and Analytics in Intelligent Systems - Biologically Inspired Techniques in Many-Criteria Decision Making ◽

10.1007/978-3-030-39033-4_8 ◽

2020 ◽

pp. 78-84

Author(s):

Pattem Sampurnima ◽

Sandeep Kumar Satapathy ◽

Shruti Mishra ◽

Pradeep Kumar Mallick

Keyword(s):

Support Vector Machine ◽

Image Classification ◽

Gradient Descent ◽

Hyperspectral Image ◽

Stochastic Gradient ◽

Stochastic Gradient Descent ◽

Support Vector ◽

Hyperspectral Image Classification

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Iterative support vector machine for hyperspectral image classification

2011 IEEE International Geoscience and Remote Sensing Symposium ◽

10.1109/igarss.2011.6049565 ◽

2011 ◽

Cited By ~ 1

Author(s):

Shih-Yu Chen ◽

Yen-Chieh Ouyang ◽

Chinsu Lin ◽

Chein-I Chang

Keyword(s):

Support Vector Machine ◽

Image Classification ◽

Hyperspectral Image ◽

Support Vector ◽

Hyperspectral Image Classification

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Geodesic Flow Kernel Support Vector Machine for Hyperspectral Image Classification by Unsupervised Subspace Feature Transfer

Remote Sensing ◽

10.3390/rs8030234 ◽

2016 ◽

Vol 8 (3) ◽

pp. 234 ◽

Cited By ~ 14

Author(s):

Alim Samat ◽

Paolo Gamba ◽

Jilili Abuduwaili ◽

Sicong Liu ◽

Zelang Miao

Keyword(s):

Support Vector Machine ◽

Image Classification ◽

Geodesic Flow ◽

Hyperspectral Image ◽

Support Vector ◽

Hyperspectral Image Classification ◽

Kernel Support Vector Machine

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Hyperspectral Image Classification Based on Quadratic Fisher's Discriminant Analysis and Multi-class Support Vector Machine

IETE Journal of Research ◽

10.1080/03772063.2014.962629 ◽

2014 ◽

Vol 60 (6) ◽

pp. 406-413 ◽

Cited By ~ 1

Author(s):

Rig Das ◽

Ratnakar Dash ◽

Banshidhar Majhi

Keyword(s):

Support Vector Machine ◽

Discriminant Analysis ◽

Image Classification ◽

Hyperspectral Image ◽

Support Vector ◽

Hyperspectral Image Classification ◽

Fisher’S Discriminant Analysis

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Hyperspectral image classification based on iterative Support Vector Machine by integrating spatial-spectral information

2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS ◽

10.1109/igarss.2013.6721337 ◽

2013 ◽

Cited By ~ 2

Author(s):

Belkacem Baassou ◽

He Mingyi ◽

Muhammad Imran Farid ◽

Mei Shaohui

Keyword(s):

Support Vector Machine ◽

Image Classification ◽

Hyperspectral Image ◽

Spectral Information ◽

Support Vector ◽

Hyperspectral Image Classification

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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 ◽

Cited By ~ 153

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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Laplacian support vector machine for hyperspectral image classification by using manifold learning algorithms

2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS ◽

10.1109/igarss.2013.6721338 ◽

2013 ◽

Cited By ~ 1

Author(s):

Xiaopan Wang ◽

Li Ma ◽

Fujiang Liu

Keyword(s):

Support Vector Machine ◽

Image Classification ◽

Manifold Learning ◽

Hyperspectral Image ◽

Learning Algorithms ◽

Support Vector ◽

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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