JOURNAL ARTICLE

Semi-automatic road extraction from aerial images

Somkait Udomhunsakul

Year: 2004 Journal:   Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE Vol: 5239 Pages: 26-32   Publisher: SPIE

Abstract

In this work, we proposed a method to detect roads in aerial imagery. In our approach, we applied the wavelet transform in a multiresolution sense by forming the products of wavelet coefficients at the different scales to locate and identify roads. After detecting possible road pixels, we used a graph searching algorithm to identify roads. We found that our approach leads to an effective method to form the basis of a road extraction approach.

Keywords:
Computer science Artificial intelligence Wavelet transform Computer vision Pixel Wavelet Aerial image Multiresolution analysis Extraction (chemistry) Pattern recognition (psychology) Basis (linear algebra) Feature extraction Remote sensing Image (mathematics) Discrete wavelet transform Geology Mathematics

Metrics

8
Cited By
0.00
FWCI (Field Weighted Citation Impact)
0
Refs
0.11
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Automated Road and Building Extraction
Physical Sciences →  Engineering →  Ocean Engineering
Remote Sensing and LiDAR Applications
Physical Sciences →  Environmental Science →  Environmental Engineering
Remote-Sensing Image Classification
Physical Sciences →  Engineering →  Media Technology

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