Fast Road Network Extraction in Satellite Images using Mathematical Morphology and MRF

From LRDE

The printable version is no longer supported and may have rendering errors. Please update your browser bookmarks and please use the default browser print function instead.

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.}
}