E.C.E, MGIT, Hyderabad, India
Online published on 4 May, 2019.
This paper presents a hybrid clustering algorithm and Naïve Bayes classifier for region clustering of trees, shade, building, grass and road. The image is clustered using the hybrid-Artificial Bee Colony (ABC-KFCM) algorithm that is developed by hybridizing the ABC and Kernelized Fuzzy C Means to obtain the effective clustering in satellite image and classified using Naïve Classifier. The Davies Bouldin-index of the proposed hybrid algorithm is compared with the algorithm like FCM.
ABC-KFCM, Segmentation Algorithm, Neural Network, Feature Extraction, Satellite Image Classification