Correcting for Perspective Distortion in Electroluminescence Images of Photovoltaic Panels

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    Abstract

    With the significant growth in the number of photovoltaic (PV) installations and their size, regular PV system inspection has become a challenge. Aerial drone imaging, based on visual, thermographic, and more recently luminescence, can be viable solutions for PV inspection. However, to achieve effective detection and quantification of failure based on images acquired form Unmanned Aerial Vehicle, there is need for image quality enhancement and correction of distortions, inherent to the drone measurement process. In this work we propose methods to automatically correct the perspective distortion in electroluminescent (EL) images of PV panels. We identified two main cases of perspective distortion: when the imaging plane is parallel to the panel plane or not, and propose methods to correct both. For both cases, theproposed method yields good results, as assessed by visual evaluation.
    Original languageEnglish
    Title of host publicationProceedings of 7th World Conference on Photovoltaic Energy Conversion
    Number of pages5
    PublisherIEEE
    Publication date2018
    ISBN (Print)9781538685297
    DOIs
    Publication statusPublished - 2018
    Event7th World Conference on Photovoltaic Energy Conversion - Hilton Waikoloa Village Resort, Waikoloa, United States
    Duration: 10 Jun 201815 Jun 2018
    Conference number: WCPEC-7

    Conference

    Conference7th World Conference on Photovoltaic Energy Conversion
    NumberWCPEC-7
    LocationHilton Waikoloa Village Resort
    Country/TerritoryUnited States
    CityWaikoloa
    Period10/06/201815/06/2018

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