Road extraction through digital processing and visual interpretation of satellite images

Yıl 2022, , 264 - 271, 15.10.2022

Aikaterini Karagianni

https://doi.org/10.26833/ijeg.977032

Cited By: 1

Öz

Road extraction plays an important role in urban planning and city extension issues, as well as in road monitoring, traffic management and map updating. Technological advances may offer a wealth of data and techniques that could be implemented in road delineation and extraction, as well as in change detection projects. Among the various methods that have been developed for this purpose, remote sensing techniques and especially digital processing of satellite data could contribute significantly in this direction. This paper presents the study of a road network which concerns the city of Kastoria located in northwestern Greece and its surrounding area. The special character of the road network is closely related to the city’s cultural value which is depicted in its structure. Satellite images of various spatial resolutions were employed for digital processing. Landsat 8 imagery was used in order to detect and delineate the linear features through spatial enhancement, while Landsat 5 images were used to detect changes over time through visual interpretation. Semi-automatic techniques were applied to SPOTmaps products to extract the road network, while an object-oriented approach was applied to QuickBird imagery in order to combine the spatial components with spectral properties. Through semi-automatic digitization and object-oriented workflows, the export of the studied part of the road network in vector format was achieved, thus facilitating the process and reducing the required time. The resulted data are efficient in road network delineation and could be combined with other data for road maintenance and extension, change detection issues, as well as for cultural and touristic purposes.  

Anahtar Kelimeler

Remote sensing, Road extraction, Urban planning, Digital processing, Visual interpretation

Kaynakça

• Airbus Defence and Space (2013). SPOTMaps products.
• Alshehhi R, Marpu P R, Woon W L & Mura M D (2017). Simultaneous extraction of roads and buildings in remote sensing imagery with convolutional neural networks. ISPRS Journal of Photogrammetry and Remote Sensing, 130, 139-149. https://doi.org/10.1016/j.isprsjprs.2017.05.002
• Cleynenbreugel J van, Fierens F, Suetens P & Oosterlinck A (1990). Delineating road structures on satellite imagery by a GIS-guided technique. Photogrammetric Engineering and Remote Sensing, 56, 893-898.
• ERDAS Field Guide™ (2013). U.S.A: Intergraph Corporation, Erdas Inc.
• IMAGINE Easytrace™ User’s Guide (2010). ERDAS Inc. U.S.A.
• IMAGINE Objective User’s Guide (2010). Erdas Inc. U.S.A.
• Hamedianfar A & Shafri H Z M (2015). Detailed intra-urban mapping through transferable OBIA rule sets using WorldView-2 very-high-resolution satellite images. International Journal of Remote Sensing, 36, 3380-3396. https://doi.org/10.1080/ 01431161.2015.1060645
• Hong M, Guo J, Dai Y & Yin Z (2019). A novel FMH model for road extraction from high-resolution remote sensing images in urban areas. Procedia Computer Science, 147, 49-55, ISSN 1877-0509. https://doi.org/10.1016/j.procs.2019.01.183
• Huang F, Yu Y & Feng T (2019). Automatic extraction of urban impervious surfaces based on deep learning and multi-source remote sensing data. Journal of Visual Communication and Image Representation, 60, 16-27. https://doi.org/10.1016/j.jvcir.2018. 12.051
• Karagianni A (2019). Research on the potentials of remote sensing techniques and interpretation of optical satellite data in civil engineering issues. Doctoral Thesis, Aristotle University of Thessaloniki 83-85, 94-100 (in Greek).
• Kearney S P, Coops N C, Sethi S & Stenhouse G B (2020). Maintaining accurate, current, rural road network data: An extraction and updating routine using RapidEye, participatory GIS and deep learning, International Journal of Applied Earth Observation and Geoinformation. 87, 102031. https://doi.org/10.1016/j.jag.2019.102031
• Landsat Data Report (1997). A Brief History of the Landsat Program. USGS Fact Sheet, 1-2.
• Lazaridou M & Karagianni A (2014). Visual satellite imagery interpretation for the city of Kastoria. 1st International Geomatics Applications Conference (GEOMAPPLICA), 279-285, Skiathos, Greece.
• Lillesand T M and Kiefer R W (1987). Remote Sensing and Image Interpretation. 2nd ed. New York: John Wiley and Sons, Inc. ISBN: 0471845175
• Liu R, Miao Q, Huang B, Song J & Debayle J (2016). Improved road centerlines extraction in high-resolution remote sensing images using shear transform, directional morphological filtering and enhanced broken lines connection. Journal of Visual Communication & Image Representation, 40, 300-311. https://doi.org/10.1016/j.jvcir.2016.06.024
• Moutsopoulos N (1989). Kastoria: Greek Traditional Architecture, Melissa Publishing House, Athens. ISBN: 9789602041567
• Ponce de León P (2015). Institutional framework and protection of traditional settlements-the case of Kastoria. Protection of Traditional Settlements and Contemporary Architectural Design. Conference on Society for the Environment and Cultural Heritage, 1-13, Kastoria, Greece.
• QuickBird Information Sheet (2021). DigitalGlobe Advanced Ortho Series.
• Shahi K, Shafri H Z M, Taherzadeh E, Mansor S & Muniandy R (2015). A novel spectral index to automatically extract road networks from WorldView-2 satellite imagery. The Egyptian Journal of Remote Sensing and Space Science, 18, 27-33. https://doi.org/10.1016/j.ejrs.2014.12.003
• Tao C, Qi J, Li Y, Wang H & Li H (2019). Spatial information inference net: Road extraction using road-specific contextual information. ISPRS Journal of Photogrammetry and Remote Sensing, 158, 155-166. https://doi.org/10.1016/j.isprsjprs.2019.10. 001
• USGS (2012). A Global Land-Imaging Mission. U.S. Geological Survey Fact Sheet, 1-4.
• Wang W, Yang N, Zhang Y, Wang F, Cao T & Eklund P (2016). A review of road extraction from remote sensing images. Journal of Traffic and Transportation Engineering (English Edition), 3(3), 271-282. https://doi.org/10.1016/j.jtte.2016.05.005
• Ziou D & Tabbone S (1998). Edge detection techniques-An overview. International journal of pattern recognition and image analysis, 1-41.