Combination of GA and ANN to High Accuracy of Polarimetric SAR Data Classification

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 were selected. The classification results of a data set, composed of different land cover elements, exhibited higher accuracy than maximum likelihood and Wish art classifier; moreover the input features were decreased to small numbers which contain sufficient information for classification of data set.