Correcting for Perspective Distortion in Electroluminescence Images of Photovoltaic Panels

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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
Publication date2018
ISBN (Print)9781538685297
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


Conference7th World Conference on Photovoltaic Energy Conversion
LocationHilton Waikoloa Village Resort
CountryUnited States

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