Published March 27, 2023
| Version v1
Software
Open
Code to support 'Scalable 3D mapping of cities using computer vision and signals of opportunity'
Description
Code to support the edge detection section of:
Anahid Basiri, Terence Lines & Miguel Fidel Pereira (2023) Scalable 3D mapping of cities using computer vision and signals of opportunity, International Journal of Geographical Information Science, 37:7, 1470-1495, DOI: 10.1080/13658816.2023.2191674
The authors received the support from the UK Research and Innovation Future Leaders Fellowship “Indicative Data: Extracting 3D Models of Cities from Unavailability and Degradation of Global Navigation Satellite Systems (GNSS)”, grant number MR/S01795X/2, the Royal Society Research Grant, grant reference RSG/R1/180396.
Files
edge-detection-master-20220507T215237Z-001.zip
Files
(9.2 kB)
| Name | Size | Download all |
|---|---|---|
|
md5:ab7692bb61786404e1b97f898ce79788
|
9.2 kB | Preview Download |
Additional details
Related works
- Is required by
- Publication: 10.1080/13658816.2023.2191674 (DOI)
Funding
- UK Research and Innovation
- Indicative Data: Extracting 3D Models of Cities from Unavailability and Degradation of Global Navigation Satellite Systems (GNSS) MR/S01795X/2
- Royal Society
- Crowd-Sourced Global Navigation Satellite Systems (GNSS) Data for Indoor Positioning RSG/R1/180396