International Journal of Electrical, Electronics and Data Communication (IJEEDC)
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Volume-9,Issue-1  ( Jan, 2021 )
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Statistics report
Apr. 2021
Submitted Papers : 80
Accepted Papers : 10
Rejected Papers : 70
Acc. Perc : 12%
Issue Published : 97
Paper Published : 1482
No. of Authors : 4013
  Journal Paper


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-DOIONLNE-17325   View Here

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