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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

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • 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