Creating a Dataset of Spatial Parameters of Ground-Mounted Photovoltaic Systems Utilising Orthophotos and the Segment Anything Model
The rapid expansion of renewable energy sources poses significant challenges in reconciling energy development with competing interests. This underscores the necessity for precise spatial data to facilitate effective balancing, management, or evaluation of compliance with regulatory frameworks. This...
Saved in:
| Main Authors: | J. Albert, C. Schymik, P. Gärtner, C. Wehner, J. Siegismund, S. Klingner |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2025-07-01
|
| Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | https://isprs-archives.copernicus.org/articles/XLVIII-4-W13-2025/17/2025/isprs-archives-XLVIII-4-W13-2025-17-2025.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A Comparative Review: Floating Photovoltaic, Agrivoltaics, and Ground-Mounted PV Systems
by: Inam-Ur-Raheem Khoja, et al.
Published: (2025-01-01) -
Automated 3D Building Model Reconstruction using Orthophotos and Point Clouds
by: D. M. Bui, et al.
Published: (2025-07-01) -
‘There is No Direct Evidence of Anything’
by: Gregory J. Seigworth, et al.
Published: (2023-12-01) -
IDCC-SAM: A Zero-Shot Approach for Cell Counting in Immunocytochemistry Dataset Using the Segment Anything Model
by: Samuel Fanijo, et al.
Published: (2025-02-01) -
GDPGO-SAM: An Unsupervised Fine Segmentation of Desert Vegetation Driven by Grounding DINO Prompt Generation and Optimization Segment Anything Model
by: Shuzhen Hua, et al.
Published: (2025-02-01)