Paper Title :Remote Sensing Image Classification using Artificial Neural Network based BP and RBF
Author :Zunjarrao Hemangi Ravindra, K T Jadhao
Article Citation :Zunjarrao Hemangi Ravindra ,K T Jadhao ,
(2020 ) " Remote Sensing Image Classification using Artificial Neural Network based BP and RBF " ,
International Journal of Electrical, Electronics and Data Communication (IJEEDC) ,
pp. 36-39,
Volume-8,Issue-7
Abstract : The remote sensing in image classification are most innovative technique. But the basic classification methods do
not provide satisfactory results. The major aim is to develop a method which provides better accuracy to the network. Neural
networks based BP and RBF network are used to obtain the segmentation and classification of images. The results obtained
by BP and RBF network are compared by pixel value and it showing that RBF network provides more accurate result
compare to BP network. The overall accuracy provided by RBF network is nearly 94% which is much better as compare to
BP network.
Keywords - Image Classification, Artificial Neural Network (ANN), BP Network, RBF Network
Type : Research paper
Published : Volume-8,Issue-7
DOIONLINE NO - IJEEDC-IRAJ-DOIONLINE-17325
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Copyright: © Institute of Research and Journals
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Published on 2020-09-04 |
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