Road network mapping from aerial images

Suchit Jain; Rohan Mittal; Prakamya Mishra; Aakash Sinha

doi:10.1117/12.2529005

Translator Disclaimer

6 September 2019 Road network mapping from aerial images

Suchit Jain, Rohan Mittal, Prakamya Mishra, Aakash Sinha

Author Affiliations +

Proceedings Volume 11139, Applications of Machine Learning; 1113917 (2019) https://doi.org/10.1117/12.2529005
Event: SPIE Optical Engineering + Applications, 2019, San Diego, California, United States

Abstract

Building and expansion of an efficient transportation network are essential for urban city advancement. However, tracking road development in an area is not an easy task as city planners do not always have access to credible information. A road network mapping framework is proposed which uses a random forest model for pixel-wise road segmentation. Road detection is followed by computer vision post-processing steps including Connected Component Analysis (CCA) and Hough Lines method for network extraction from high-resolution aerial images. The custom dataset used consists of images collected from an urban settlement in India.

Citation Download Citation

Suchit Jain, Rohan Mittal, Prakamya Mishra, and Aakash Sinha "Road network mapping from aerial images", Proc. SPIE 11139, Applications of Machine Learning, 1113917 (6 September 2019); https://doi.org/10.1117/12.2529005

ACCESS THE FULL ARTICLE