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2011 | OriginalPaper | Chapter

New Approach for Road Extraction from High Resolution Remotely Sensed Images Using the Quaternionic Wavelet

Authors : Mohamed Naouai, Atef Hamouda, Aroua Akkari, Christiane Weber

Published in: Pattern Recognition and Image Analysis

Publisher: Springer Berlin Heidelberg

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Automatic network road extraction from high resolution remotely sensed images has been under study by computer scientists for over 30 years. In fact, Conventional methods to create and update road information rely heavily on manual work and therefore are very expensive and time consuming. This paper presents an efficient and computationally fast method to extract road from very high resolution images automatically. We propose in this paper a new approach for following roads path based on a quaternionic wavelet transform insuring a good local space-frequency analysis with very important directional selectivity. In fact, the rich phase information given by this hypercomplex transform overcomes the lack of shift invariance property shown by the real discrete wavelet transform and the poor directional selectivity of both real and complex wavelet transform.

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Metadata
Title
New Approach for Road Extraction from High Resolution Remotely Sensed Images Using the Quaternionic Wavelet
Authors
Mohamed Naouai
Atef Hamouda
Aroua Akkari
Christiane Weber
Copyright Year
2011
Publisher
Springer Berlin Heidelberg
DOI
https://doi.org/10.1007/978-3-642-21257-4_56

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