Monitoring road infrastructures from satellite images in Greater Maputo
Fuente:
arXiv
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866913025494089728 |
|---|---|
| author | Burzacchi, Arianna Landrò, Matteo Vantini, Simone |
| author_facet | Burzacchi, Arianna Landrò, Matteo Vantini, Simone |
| contents | The information about pavement surface type is rarely available in road network databases of developing countries although it represents a cornerstone of the design of efficient mobility systems. This research develops an automatic classification pipeline for road pavement which makes use of satellite images to recognize road segments as paved or unpaved. The proposed methodology is based on an object-oriented approach, so that each road is classified by looking at the distribution of its pixels in the RGB space. The proposed approach is proven to be accurate, inexpensive, and readily replicable in other cities. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2409_06406 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Monitoring road infrastructures from satellite images in Greater Maputo Burzacchi, Arianna Landrò, Matteo Vantini, Simone Applications The information about pavement surface type is rarely available in road network databases of developing countries although it represents a cornerstone of the design of efficient mobility systems. This research develops an automatic classification pipeline for road pavement which makes use of satellite images to recognize road segments as paved or unpaved. The proposed methodology is based on an object-oriented approach, so that each road is classified by looking at the distribution of its pixels in the RGB space. The proposed approach is proven to be accurate, inexpensive, and readily replicable in other cities. |
| title | Monitoring road infrastructures from satellite images in Greater Maputo |
| topic | Applications |
| url | https://arxiv.org/abs/2409.06406 |