Correcting for Perspective Distortion in Electroluminescence Images of Photovoltaic Panels

Research output: Research - peer-reviewArticle in proceedings – Annual report year: 2018

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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
PublisherIEEE
Publication date2018
ISBN (Print)9781538685297
DOIs
StatePublished - 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
CountryUnited States
CityWaikoloa
Period10/06/201815/06/2018
CitationsWeb of Science® Times Cited: No match on DOI
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