Classification of Satellite Images
This paper presents a hybrid clustering algorithm and feed-forward neural network classifier for land-cover
mapping of trees, shade, building, grass and road. It starts with the single step preprocessing procedure to make the image
suitable for segmentation. The pre-processed image is segmented ABC and KFCM to obtain the effective segmentation in
satellite image and classified using neural network. The performance of the proposed hybrid algorithm is compared with the
algorithms like, Artificial Bee Colony(ABC) algorithm and KFCM .
Index Terms- ABC-KFCM, Clustering, feature extraction, Neural Network Classifier,