Fuzzy nonlinear proximal support vector machine for land extraction based on remote sensing image

Currently, remote sensing technologies were widely employed in the dynamic monitoring of the land. This paper presented an algorithm named fuzzy nonlinear proximal support vector machine (FNPSVM) by basing on ETM(+) remote sensing image. This algorithm is applied to extract various types of lands of...

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Veröffentlicht in:	PloS one 2013-07, Vol.8 (7), p.e69434-e69434
Hauptverfasser:	Zhong, Xiaomei, Li, Jianping, Dou, Huacheng, Deng, Shijun, Wang, Guofei, Jiang, Yu, Wang, Yongjie, Zhou, Zebing, Wang, Li, Yan, Fei
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Algorithms Artificial neural networks Back propagation Back propagation networks China Classification Classifiers Comparative analysis Computer Science Decision making Decision trees Detection Earth Sciences Engineering Feature extraction Fuzzy Logic Fuzzy sets Geography Neural networks Noise control Nonlinear Dynamics Normal distribution Outliers (statistics) Pattern recognition Remote monitoring Remote sensing Remote Sensing Technology Social and Behavioral Sciences Support Vector Machine Time series Training
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