Automatic road network extraction from high resolution satellite imagery using spectral classification methods

Automatic road network extraction from high resolution satellite imagery using spectral classification methods

Road networks play an important role in a number of geospatial applications, such as cartographic, infrastructure planning and traffic routing software. Automatic and semi-automatic road network extraction techniques have significantly increased the extraction rate of road networks. Automated proces...

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Bibliographic Details
Main Author: Hauptfleisch, Andries Carl
Other Authors: Engelbrecht, Andries P.
Published: 2013
Subjects:
Spectral classification
Edge detection
Remote sensing analysis
Feature extraction
Segmentation
Automated road network extraction
UCTD
Online Access:http://hdl.handle.net/2263/26866
Hauptfleisch, AC 2010, Automatic road network extraction from high resolution satellite imagery using spectral classification methods, MSc dissertation, University of Pretoria, Pretoria, viewed yymmdd < http://hdl.handle.net/2263/26866 >
http://upetd.up.ac.za/thesis/available/etd-07302010-143434/

Internet

http://hdl.handle.net/2263/26866
Hauptfleisch, AC 2010, Automatic road network extraction from high resolution satellite imagery using spectral classification methods, MSc dissertation, University of Pretoria, Pretoria, viewed yymmdd < http://hdl.handle.net/2263/26866 >
http://upetd.up.ac.za/thesis/available/etd-07302010-143434/

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