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Remote Sensing Image Classification using Back Propogation

IJCA Proceedings on National Conference on Advances in Communication and Computing
© 2014 by IJCA Journal
NCACC 2014 - Number 2
Year of Publication: 2014
Shah Kehul
More S A

Shah Kehul and More S A. Article: Remote Sensing Image Classification using Back Propogation. IJCA Proceedings on National Conference on Advances in Communication and Computing NCACC(2):9-11, December 2014. Full text available. BibTeX

	author = {Shah Kehul and More S A},
	title = {Article: Remote Sensing Image Classification using Back Propogation},
	journal = {IJCA Proceedings on National Conference on Advances in Communication and Computing},
	year = {2014},
	volume = {NCACC},
	number = {2},
	pages = {9-11},
	month = {December},
	note = {Full text available}


The resolution of remote sensing images increase every day . Most of the existing methods is used the same method for years. The existing method does not provide satisfactory result. The aim is to develop an artificial neural network based on classification method consists of segmentation and classification . Segmentation followed by K-Means method and then classification performed with back propagation neural network which provide accuracy and satisfactory result compare to the other method.


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