Combination of GA and ANN to high accuracy of polarimetric SAR data classification

Authors:
G. Haddadi Ataollah;Mahmodreza Sahebi
Affiliations:
Faculty of Geomatics, K.N. Toosi University of Technology, Tehran, Iran;Faculty of Geomatics, K.N. Toosi University of Technology, Tehran, Iran
Venue:
IWANN'11 Proceedings of the 11th international conference on Artificial neural networks conference on Advances in computational intelligence - Volume Part I
Year:
2011

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Abstract

In this paper, a combination of artificial neural network (ANN)and genetic algorithm(GA) has been proposed as a method to obtain a high accuracy in classification of polarimetric SAR data. First we extracted 57 features based on decomposition algorithms and thenthe best features among inputted features by use of GA-ANN wereselected.The classification results of a data set, composed of different land cover elements, exhibited higher accuracy than maximum likelihood and Wishart classifier; moreover the input features were decreased to small numbers which contain sufficient information for classification of data set.