Remote sensing image texture classification based on Gabor wavelet and support vector machine

2006 ◽  
Author(s):  
LeiGuang Wang ◽  
Wenbo Wu ◽  
QinLing Dai ◽  
Qianqing Qin
Keyword(s):  
Remote Sensing ◽  
Support Vector Machine ◽  
Texture Classification ◽  
Remote Sensing Image ◽  
Gabor Wavelet ◽  
Image Texture ◽  
Support Vector

Image Texture Classification Based on LS-SVM

2012 ◽  
Vol 182-183 ◽  
pp. 869-872
Author(s):  
Yan Ling Zhao ◽  
Xiao Shi Zheng ◽  
Guang Qi Liu ◽  
Na Li
Keyword(s):  
Support Vector Machine ◽  
Linear Regression ◽  
Least Squares ◽  
Texture Classification ◽  
Energy Ratio ◽  
Image Texture ◽  
Support Vector ◽  
Good Ability ◽  
Non Linear

LS-SVM (Least Squares Support Vector Machine) is simple and has a good ability of non-linear regression. As inputs of LS-SVM, DC-Energy-Ratio and Deviation of image samples are extracted first. Output of LS-SVM is the current texture classification. The results show that LS-SVM classifies images accurately by training the proposed two features.

scholarly journals Fuzzy Nonlinear Proximal Support Vector Machine for Land Extraction Based on Remote Sensing Image

PLoS ONE ◽  
2013 ◽  
Vol 8 (7) ◽  
pp. e69434 ◽  
Author(s):  
Xiaomei Zhong ◽  
Jianping Li ◽  
Huacheng Dou ◽  
Shijun Deng ◽  
Guofei Wang ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Support Vector Machine ◽  
Remote Sensing Image ◽  
Support Vector ◽  
Proximal Support Vector Machine
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