Semi-Automated Road Detection From High Resolution Satellite Images by Directional Morphological Enhancement and Segmentation Techniques
- 28 June 2012
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- Vol. 5 (5), 1538-1544
- https://doi.org/10.1109/jstars.2012.2199085
Abstract
Extraction of map objects such roads, rivers and buildings from high resolution satellite imagery is an important task in many civilian and military applications. We present a semi-automatic approach for road detection that achieves high accuracy and efficiency. This method exploits the properties of road segments to develop customized operators to accurately derive the road segments. The customized operators include directional morphological enhancement, directional segmentation and thinning. We have systematically evaluated the algorithm on a variety of images from IKONOS, QuickBird, CARTOSAT-2A satellites and carefully compared it with the techniques presented in literature. The results demonstrate that the algorithm proposed is both accurate and efficient.Keywords
This publication has 17 references indexed in Scilit:
- Road Extraction from High Resolution Satellite Images Using Image Processing Algorithms and CAD-Based Environments FacilitiesJournal of Applied Sciences, 2008
- Classified road detection from satellite images based on perceptual organizationInternational Journal of Remote Sensing, 2007
- Road detection from high-resolution satellite images using artificial neural networksInternational Journal of Applied Earth Observation and Geoinformation, 2007
- Use of Satellite Imagery for Establishing Road Horizontal AlignmentsJournal of Surveying Engineering, 2007
- A system to detect houses and residential street networks in multispectral satellite imagesComputer Vision and Image Understanding, 2005
- Segmentation of High Resolution Satellite Images by Direction and Morphological FiltersPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- An automatic method for road extraction in rural and semi-urban areas starting from high resolution satellite imageryPattern Recognition Letters, 2004
- Automated Road Extraction from High Resolution Multispectral ImageryPhotogrammetric Engineering & Remote Sensing, 2004
- Map-aided structural analysis of aerial imagesISPRS Journal of Photogrammetry and Remote Sensing, 1995
- Rule-Based Interpretation of Aerial ImageryIEEE Transactions on Pattern Analysis and Machine Intelligence, 1985