Volume XLII-4/W9
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4/W9, 339-342, 2018
https://doi.org/10.5194/isprs-archives-XLII-4-W9-339-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4/W9, 339-342, 2018
https://doi.org/10.5194/isprs-archives-XLII-4-W9-339-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

  30 Oct 2018

30 Oct 2018

ROAD EXTRACTION TECHNIQUES FROM REMOTE SENSING IMAGES: A REVIEW

I. Kahraman1, I. R. Karas1, and A. E. Akay2 I. Kahraman et al.
  • 1Karabük University, Faculty of Engineering, 78050 Karabük, Turkey
  • 2Bursa Technical University, Faculty of Forestry, 16310 Bursa, Turkey

Keywords: Remote Sensing Image, Classification, Road Extraction, Road Feature

Abstract. The importance of analysis high resolution satellite imagery plays an important research topic for geographical information analysis of cities. Geospatial data plays an important role in important issues such as governmental, industrial, research topics on traffic management, road monitoring, GNSS navigation, and map updating. In this study, road detection from satellite imagery methods are classified as classification-based, knowledge-based, mathematical morphology and dynamic programming. In the beginning, the road structures including feature and model are analyzed. Then, the advantages and disadvantages of road detection methods are evaluated and summarizes their accuracy and performance based on road detection principles. Therefore, in order to obtain remarkable results for road detection, it is better to use more than one method. In after days, performing a complex road extraction from a satellite image is still a necessary and important research topic.