Fast Road Network Extraction in Satellite Images Using Mathematical Morphology and Markov Random Fields
<p/> <p>We present a fast method for road network extraction in satellite images. It can be seen as a transposition of the segmentation scheme "watershed transform <inline-formula><graphic file="1687-6180-2004-473593-i1.gif"/></inline-formula> region adja...
Main Authors: | Géraud Thierry, Mouret Jean-Baptiste |
---|---|
Format: | Article |
Language: | English |
Published: |
SpringerOpen
2004-01-01
|
Series: | EURASIP Journal on Advances in Signal Processing |
Subjects: | |
Online Access: | http://dx.doi.org/10.1155/S1110865704409093 |
Similar Items
-
Hidden Markov models : applications in computer vision /
by: Bunke, Horst, et al.
Published: (2001) -
Hybridization of a hidden Markov model using Elman neural network with application
by: Omar Qasim
Published: (2014-07-01) -
A novel grey–fuzzy–Markov and pattern recognition model for industrial accident forecasting
by: Inyeneobong Ekoi Edem, et al.
Published: (2017-10-01) -
A comparison of deep multilayer networks and Markov random field matching models for face recognition in the wild
by: Shervin Rahimzadeh Arashloo
Published: (2016-09-01) -
Comparison of Two Objects Classification Techniques using Hidden Markov Models and Convolutional Neural Networks
by: Carlos Sarmiento, et al.
Published: (2020-12-01)