Difference between revisions of "Publications/geraud.03.nsip"
From LRDE
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| abstract = This paper presents a fast method to extract road network in satellite images. A pre-processing stage relies on mathematical morphology to obtain a connected line which encloses road network. Then, a graph is constructed from this line and a Markovian Random Field is defined to perform road extraction. |
| abstract = This paper presents a fast method to extract road network in satellite images. A pre-processing stage relies on mathematical morphology to obtain a connected line which encloses road network. Then, a graph is constructed from this line and a Markovian Random Field is defined to perform road extraction. |
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| type = inproceedings |
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encloses road network. Then, a graph is constructed from |
encloses road network. Then, a graph is constructed from |
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this line and a Markovian Random Field is defined to |
this line and a Markovian Random Field is defined to |
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| − | perform road extraction.<nowiki>}</nowiki> |
+ | perform road extraction.<nowiki>}</nowiki>, |
| + | lrdekeywords = <nowiki>{</nowiki>Image<nowiki>}</nowiki> |
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Revision as of 18:07, 4 November 2013
- Authors
- Thierry Géraud
- Where
- Proceedings of the EURASIP Workshop on Nonlinear Signal and Image Processing (NSIP)
- Place
- Trieste, Italy
- Type
- inproceedings
- Keywords
- Image
- Date
- 2003-06-01
Abstract
This paper presents a fast method to extract road network in satellite images. A pre-processing stage relies on mathematical morphology to obtain a connected line which encloses road network. Then, a graph is constructed from this line and a Markovian Random Field is defined to perform road extraction.
Bibtex (lrde.bib)
@InProceedings{ geraud.03.nsip,
author = {Thierry G\'eraud},
title = {Fast Road Network Extraction in Satellite Images using
Mathematical Morphology and {MRF}},
booktitle = {Proceedings of the EURASIP Workshop on Nonlinear Signal
and Image Processing (NSIP)},
year = 2003,
address = {Trieste, Italy},
month = jun,
project = {Image},
abstract = {This paper presents a fast method to extract road network
in satellite images. A pre-processing stage relies on
mathematical morphology to obtain a connected line which
encloses road network. Then, a graph is constructed from
this line and a Markovian Random Field is defined to
perform road extraction.},
lrdekeywords = {Image}
}