Exposure Modeling of Transmission Towers for Large-Scale Natural Hazard Risk Assessments Based on Deep-Learning Object Detection Models
Exposure modeling plays a crucial role in disaster risk assessments by providing geospatial information about assets at risk and their characteristics. Detailed exposure data enhances the spatial representation of a rapidly changing environment, enabling decision-makers to develop effective policies...
Saved in:
| Main Authors: | Luigi Cesarini, Rui Figueiredo, Xavier Romão, Mario Martina |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-06-01
|
| Series: | Infrastructures |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2412-3811/10/7/152 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Combining OpenStreetMap with Satellite Imagery to Enhance Cross-View Geo-Localization
by: Yuekun Hu, et al.
Published: (2024-12-01) -
Floods’ Impact on Cities’ Critical Infrastructure: A Case Study on Dubai
by: Diaa Addeen Abuhani, et al.
Published: (2025-01-01) -
Exploring why and how commercial organizations contribute to OpenStreetMap
by: Héctor Ochoa-Ortiz, et al.
Published: (2025-04-01) -
Automatic generation of high-quality building samples using OpenStreetMap and deep learning
by: Ming Zhao, et al.
Published: (2025-05-01) -
Automated road surface classification in OpenStreetMap using MaskCNN and aerial imagery
by: R. Parvathi, et al.
Published: (2025-08-01)