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 then the 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. © 2011 Springer-Verlag.
CITATION STYLE
Haddadi G., A., & Sahebi, M. (2011). Combination of GA and ANN to high accuracy of polarimetric SAR data classification. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6691 LNCS, pp. 207–214). https://doi.org/10.1007/978-3-642-21501-8_26
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