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Semi Automatic Road Network Extraction from Satellite Images Using Fuzzy C Means Clustering

Published on December 2014 by Nadeem Akhtar Riyaz Ahmad, P. J. Deore
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National Conference on Advances in Communication and Computing
Foundation of Computer Science USA
NCACC2014 - Number 1
December 2014
Authors: Nadeem Akhtar Riyaz Ahmad, P. J. Deore
5b2045a0-1481-4c69-a13a-573a3f5158a5

Nadeem Akhtar Riyaz Ahmad, P. J. Deore . Semi Automatic Road Network Extraction from Satellite Images Using Fuzzy C Means Clustering. National Conference on Advances in Communication and Computing. NCACC2014, 1 (December 2014), 28-30.

@article{
author = { Nadeem Akhtar Riyaz Ahmad, P. J. Deore },
title = { Semi Automatic Road Network Extraction from Satellite Images Using Fuzzy C Means Clustering },
journal = { National Conference on Advances in Communication and Computing },
issue_date = { December 2014 },
volume = { NCACC2014 },
number = { 1 },
month = { December },
year = { 2014 },
issn = 0975-8887,
pages = { 28-30 },
numpages = 3,
url = { /proceedings/ncacc2014/number1/19123-2008/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on Advances in Communication and Computing
%A Nadeem Akhtar Riyaz Ahmad
%A P. J. Deore
%T Semi Automatic Road Network Extraction from Satellite Images Using Fuzzy C Means Clustering
%J National Conference on Advances in Communication and Computing
%@ 0975-8887
%V NCACC2014
%N 1
%P 28-30
%D 2014
%I International Journal of Computer Applications
Abstract

Road extraction from satellite images is challenging research area in information extraction from high-resolution remote sensing images such as IKONOS and QUICKBIRD. The road from satellite images can be identified based on its geometric, spectral, topological and contextual properties as well as on various illumination and geographical environment. The road network extraction results in map generation in short time. In this paper roads are extracted by semi automatic method road network. Image Binarization is achieved by C means clustering algorithm followed by morphological operation which includes filtering and image thinning.

References
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Index Terms

Computer Science
Information Sciences

Keywords

C Means Clustering Morphological Operations Road Detection Satellite Image Processing Segmentation.