Fully Automatic Road Network Extraction from Satellite Images

In this paper a fully automatic road detection algorithm is introduced. It comprises of pre-processing the image via a series of wavelet based filter banks and reducing the yielding data into a single image which is of the same size as the original optical grayscale satellite image, then utilizing a...

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Bibliographic Details
Published in:2007 3rd International Conference on Recent Advances in Space Technologies pp. 708 - 714
Main Author: Tuncer, O.
Format: Conference Proceeding
Language:English
Published: IEEE 01.06.2007
Subjects:
Data mining
Detection algorithms
Filter bank
Finite impulse response filter
fuzzy logic
Gray-scale
Inference algorithms
Optical filters
Principal component analysis
road extraction
Roads
satellite imagery
Satellites
ISBN:1424410568, 9781424410569
Online Access:Get full text
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Summary:In this paper a fully automatic road detection algorithm is introduced. It comprises of pre-processing the image via a series of wavelet based filter banks and reducing the yielding data into a single image which is of the same size as the original optical grayscale satellite image, then utilizing a fuzzy inference algorithm to carry out the road detection which can then be used as an input to a geographical information system for cartographic or for other purposes that are in need. We use a trous algorithm twice with two different wavelet bases in order to filter and de-noise the satellite image. Each wavelet function resolves features at a different resolution level associated with the frequency response of the corresponding FIR filter. Resulting two images are fused together using Karhounen-Louve transform (KLT) which is based on principal component analysis (PCA). This process underlines the prominent features of the original image as well as de-noising it, since the prominent features appear in both of the wavelet transformed images while noise does not strongly correlate between scales. Next a fuzzy logic inference algorithm which is based on statistical information and on geometry is used to extract the road pixels.
ISBN:1424410568
9781424410569
DOI:10.1109/RAST.2007.4284085