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)
 
| address = Trieste, Italy
 
| address = Trieste, Italy
| lrdeprojects = Image
+
| lrdeprojects = Olena
 
| 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.
 
| lrdekeywords = Image
 
| lrdekeywords = Image

Latest revision as of 14:07, 22 February 2017

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.}
}