Detailed Aerial Mapping of Photovoltaic Power Plants Through Semantically Significant Keypoints
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F25%3A00385754" target="_blank" >RIV/68407700:21230/25:00385754 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21730/25:00385754
Result on the web
<a href="https://doi.org/10.26833/ijeg.1737764" target="_blank" >https://doi.org/10.26833/ijeg.1737764</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.26833/ijeg.1737764" target="_blank" >10.26833/ijeg.1737764</a>
Alternative languages
Result language
angličtina
Original language name
Detailed Aerial Mapping of Photovoltaic Power Plants Through Semantically Significant Keypoints
Original language description
An accurate and up-to-date model of a photovoltaic (PV) power plant is essential for its optimal operation and maintenance. However, such a model may not be easily available. This work introduces a novel approach for PV power plant mapping based on aerial overview images. It enables the automation of the mapping process while removing the reliance on third-party data. The presented mapping method takes advantage of the structural layout of the power plants to achieve detailed modeling down to the level of individual PV modules. The approach relies on visual segmentation of PV modules in overview images and the inference of structural information in each image, assigning modules to individual benches, rows, and columns. We identify visual keypoints related to the layout and use these to merge detections from multiple images while maintaining their structural integrity. The presented method was experimentally verified and evaluated on two different power plants. The final fusion of 3D positions and semantic structures results in a compact georeferenced model suitable for power plant maintenance.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/EH22_008%2F0004590" target="_blank" >EH22_008/0004590: Robotics and advanced industrial production</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
International Journal of Engineering and Geosciences
ISSN
2548-0960
e-ISSN
2548-0960
Volume of the periodical
11
Issue of the periodical within the volume
2
Country of publishing house
TR - TURKEY
Number of pages
11
Pages from-to
352-362
UT code for WoS article
001643789400009
EID of the result in the Scopus database
2-s2.0-105026607516