A new neuro fuzzy approach is proposed for classification of medium resolution remote sensing data. The feature wise degree of belongings of patterns to all classes of the area through a fuzzification is processed. A fuzzification process is generated with a membership matrix having total number of elements equal to the product of the number of features and classes present in the data set. These matrix elements were the input to neural networks. The effectiveness of the proposed model is established with matrix methods, three neuro-fuzzy models and two remote sensing images. All these measures supported the superiority of the proposed NF approach model.
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