Department of E.C.E, MGIT, Hyderabad, India
Online published on 23 January, 2018.
This paper presents a hybrid clustering algorithm and feed-forward neural network classifier for land-cover mapping of trees, shade, building, grass and road. The image is clustered using the hybrid-Artificial Bee Colony (ABC) algorithm that is developed by hybridizing the ABC and KFCM to obtain the effective clusteirng in satellite image and classified using neural network. The performance of the proposed hybrid algorithm is compared with the algorithms like, FCM.
ABC-KFCM, Segmentation Algorithm, Neural Network, Feature Extraction, Satellite Image Classification
