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

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IJCA Proceedings on National Conference on Advances in Communication and Computing
© 2014 by IJCA Journal
NCACC 2014 - Number 1
Year of Publication: 2014
Authors:
Nadeem Akhtar Riyaz Ahmad
P. J. Deore

Nadeem Akhtar Riyaz Ahmad and P J Deore. Article: Semi Automatic Road Network Extraction from Satellite Images Using Fuzzy C Means Clustering. IJCA Proceedings on National Conference on Advances in Communication and Computing NCACC(1):28-30, December 2014. Full text available. BibTeX

@article{key:article,
	author = {Nadeem Akhtar Riyaz Ahmad and P. J. Deore},
	title = {Article: Semi Automatic Road Network Extraction from Satellite Images Using Fuzzy C Means Clustering},
	journal = {IJCA Proceedings on National Conference on Advances in Communication and Computing},
	year = {2014},
	volume = {NCACC},
	number = {1},
	pages = {28-30},
	month = {December},
	note = {Full text available}
}

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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