Comparison of Three Classification Algorithms (ANN, SVM and Maximum Likelihood) for Preparing Land Use Map (Case Study: Abolabbas Basin)

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SHANANI HOVEYZEH SEYEDEH MAEDEH; ZAREI HEIDAR

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Paper Information

Journal: IRANIAN JOURNAL OF WATERSHED MANAGEMENT SCIENCE AND ENGINEERING Year:2016 | Volume:10 | Issue:33 Page(s): 73-84

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Title

Comparison of Three Classification Algorithms (ANN, SVM and Maximum Likelihood) for Preparing Land Use Map (Case Study: Abolabbas Basin)

Author(s)

SHANANI HOVEYZEH SEYEDEH MAEDEH | ZAREI HEIDAR | Issue Writer Certificate

Keywords

Satellite imageQ1

Classification algorithmsQ1

Land use mapQ2

Overall accuracyQ1

Kappa coefficientQ1

Abolabbas basinQ1

Abstract

One of the most important tasks of remote sensing technology is to producing Land use maps. In this study, in order to produce Land use map of Abolabbas basin, landsat Satellite image of TM scanner acquired on 01 June 2009 were employed. the image classified by using three-layer perceptron neural network, support vector machine with the radial basis kernel function and Maximum Likelihood algorithm. So, The performance of different Classification algorithms in producing Land use maps were investigated using Overall accuracy and Kappa coefficient. Results showed that Nonparametric algorithms such as artificial neural network (with 95. 8% Overall accuracy and 0. 95 Kappa coefficient) and support vector machine with the radial basis kernel function (with 95. 8% Overall accuracy and 0. 94 Kappa coefficient) with the same performance were better than the third method which is Parametric maximum likelihood algorithm (with 93. 7% Overall accuracy and 0. 91 Kappa coefficient). Overall, this study showed that three Classification algorithms, neural network, support vector machine and maximum likelihood are capable to generate Land use maps with high accuracy.

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APA: Copy

SHANANI HOVEYZEH, SEYEDEH MAEDEH, & ZAREI, HEIDAR. (2016). Comparison of Three Classification Algorithms (ANN, SVM and Maximum Likelihood) for Preparing Land Use Map (Case Study: Abolabbas Basin). IRANIAN JOURNAL OF WATERSHED MANAGEMENT SCIENCE AND ENGINEERING, 10(33 ), 73-84. SID. https://sid.ir/paper/134894/en

Vancouver: Copy

SHANANI HOVEYZEH SEYEDEH MAEDEH, ZAREI HEIDAR. Comparison of Three Classification Algorithms (ANN, SVM and Maximum Likelihood) for Preparing Land Use Map (Case Study: Abolabbas Basin). IRANIAN JOURNAL OF WATERSHED MANAGEMENT SCIENCE AND ENGINEERING[Internet]. 2016;10(33 ):73-84. Available from: https://sid.ir/paper/134894/en

IEEE: Copy

SEYEDEH MAEDEH SHANANI HOVEYZEH, and HEIDAR ZAREI, “Comparison of Three Classification Algorithms (ANN, SVM and Maximum Likelihood) for Preparing Land Use Map (Case Study: Abolabbas Basin),” IRANIAN JOURNAL OF WATERSHED MANAGEMENT SCIENCE AND ENGINEERING, vol. 10, no. 33 , pp. 73–84, 2016, [Online]. Available: https://sid.ir/paper/134894/en

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