Difference between revisions of "Publications/geraud.03.nsip"
From LRDE
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| booktitle = Proceedings of the EURASIP Workshop on Nonlinear Signal and Image Processing (NSIP) |
| booktitle = Proceedings of the EURASIP Workshop on Nonlinear Signal and Image Processing (NSIP) |
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| address = Trieste, Italy |
| address = Trieste, Italy |
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+ | | lrdeprojects = Image |
| − | | urllrde = 200306-Nsip |
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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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| lrdekeywords = Image |
| lrdekeywords = Image |
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address = <nowiki>{</nowiki>Trieste, Italy<nowiki>}</nowiki>, |
address = <nowiki>{</nowiki>Trieste, Italy<nowiki>}</nowiki>, |
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month = jun, |
month = jun, |
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| − | project = <nowiki>{</nowiki>Image<nowiki>}</nowiki>, |
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abstract = <nowiki>{</nowiki>This paper presents a fast method to extract road network |
abstract = <nowiki>{</nowiki>This paper presents a fast method to extract road network |
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in satellite images. A pre-processing stage relies on |
in satellite images. A pre-processing stage relies on |
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Revision as of 12:14, 26 April 2016
- Authors
- Thierry Géraud
- Where
- Proceedings of the EURASIP Workshop on Nonlinear Signal and Image Processing (NSIP)
- Place
- Trieste, Italy
- Type
- inproceedings
- Projects
- Image"Image" is not in the list (Vaucanson, Spot, URBI, Olena, APMC, Tiger, Climb, Speaker ID, Transformers, Bison, ...) of allowed values for the "Related project" property.
- Keywords
- Image
- Date
- 2003-01-31
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,
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.}
}