Abstract

We make use of the Volunteered Geographic Information (VGI) data to extract the total extent of the roads using remote sensing images. VGI data is often provided only as vector data represented by lines and not as full extent. Also, high geolocation accuracy is not guaranteed and it is common to observe misalignment with the target road segments by several pixels on the images. In this work, we use the prior information provided by the VGI and extract the full road extent even if there is significant mis-registration between the VGI and the image. The method consists of image segmentation and traversal of multiple agents along available VGI information. First, we perform image segmentation, and then we traverse through the fragmented road segments using autonomous agents to obtain a complete road map in a semi-automatic way once the seed-points are defined. The road center-line in the VGI guides the process and allows us to discover and extract the full extent of the road network based on the image data. The results demonstrate the validity and good performance of the proposed method for road extraction that reflects the actual road width despite the presence of disturbances such as shadows, cars and trees which shows the efficiency of the fusion of the VGI and satellite images.

Highlights

  • The work on extraction of topographic objects like roads from satellite imagery started from late 1970s [43,37]

  • 4.4 Non-overlapping Volunteered Geographic Information (VGI) For the cases where the road information from VGI does not overlap with the underlying satellite image, by using the starting point and the direction of the existing roads, our approach has proven robust to traverse through the route in the direction of the known road to extract the complete road network with same performance measures as with overlapping case

  • Conclusion and future works In this paper, the extraction of the total width of a road network from a satellite image is presented with the help of a traversing agents in the direction guided by VGI over the segmentation results

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Summary

Introduction

The work on extraction of topographic objects like roads from satellite imagery started from late 1970s [43,37]. (2020), “Segmentation based traversing-agent approach for road width extraction from satellite images using volunteered geographic information”, New England Journal of Entrepreneurship.

Results
Conclusion
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