Hybrid Clustering Algorithm and Feed-Forward Neural Network for Satellite Image Classification
نویسندگان
چکیده
This paper presents a hybrid clustering algorithm and feed-forward neural network classifier for land-cover mapping of trees, shade, building and road. It starts with the single step preprocessing procedure to make the image suitable for segmentation. The pre-processed image is segmented using the hybrid geneticArtificial Bee Colony(ABC) algorithm that is developed by hybridizing the ABC and genetic algorithm to obtain the effective segmentation in satellite image and classified using feed-forward neural network classifier . Classification accuracy of hybrid algorithm is found better than well known KFCM, Moving KFCM.
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تاریخ انتشار 2014