Correcting for Perspective Distortion in Electroluminescence Images of Photovoltaic Panels

Claire Mantel; Sergiu Spataru; Harsh Parikh; Dezso Sera; Gisele  A. dos Reis Benatto; Nicholas Reidel; Sune Thorsteinsson; Peter B Poulsen; Soren  Forchhammer

doi:10.1109/PVSC.2018.8547724

Correcting for Perspective Distortion in Electroluminescence Images of Photovoltaic Panels

Claire Mantel, Sergiu Spataru, Harsh Parikh, Dezso Sera, Gisele A. dos Reis Benatto, Nicholas Reidel, Sune Thorsteinsson, Peter B Poulsen, Soren Forchhammer

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

13 Citations (Scopus)

174 Downloads (Pure)

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, the proposed method yields good results, as assessed by visual evaluation.

Original language	English
Title of host publication	Proceedings of the 2018 IEEE 7th World Conference on Photovoltaic Energy Conversion (WCPEC) (A Joint Conference of 45th IEEE PVSC, 28th PVSEC & 34th EU PVSEC)
Number of pages	5
Publisher	IEEE Press
Publication date	Jun 2018
Pages	0433-0437
ISBN (Print)	978-1-5386-8530-3
ISBN (Electronic)	978-1-5386-8529-7
DOIs	https://doi.org/10.1109/PVSC.2018.8547724
Publication status	Published - Jun 2018
Event	7th World Conference on Photovoltaic Energy Conversion - Hilton Waikoloa Village, Waikoloa, United States Duration: 10 Jun 2018 → 15 Jun 2018 http://www.wcpec7.org/WCPEC-7/

Conference

Conference	7th World Conference on Photovoltaic Energy Conversion
Location	Hilton Waikoloa Village
Country/Territory	United States
City	Waikoloa
Period	10/06/2018 → 15/06/2018
Internet address	http://www.wcpec7.org/WCPEC-7/

Series	I E E E Photovoltaic Specialists Conference. Conference Record
ISSN	0160-8371

Keywords

Outdoor electroluminescence imaging
PV inspection
Perspective correction

Access to Document

10.1109/PVSC.2018.8547724

Perspective_distortionAccepted author manuscript, 1.19 MB

https://ieeexplore.ieee.org/document/8547724

AUB Link

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DronEL - Fast and accurate inspection of large photovoltaic plants using aerial drone imaging
Séra, D., Spataru, S. V. & Parikh, H. R.
Innovation Fund Denmark
01/01/2017 → 31/12/2019
Project: Research

Cite this

Mantel, C., Spataru, S., Parikh, H., Sera, D., A. dos Reis Benatto, G., Reidel, N., Thorsteinsson, S., Poulsen, P. B., & Forchhammer, S. (2018). Correcting for Perspective Distortion in Electroluminescence Images of Photovoltaic Panels. In Proceedings of the 2018 IEEE 7th World Conference on Photovoltaic Energy Conversion (WCPEC) (A Joint Conference of 45th IEEE PVSC, 28th PVSEC & 34th EU PVSEC) (pp. 0433-0437). IEEE Press. https://doi.org/10.1109/PVSC.2018.8547724

Mantel, Claire ; Spataru, Sergiu ; Parikh, Harsh et al. / Correcting for Perspective Distortion in Electroluminescence Images of Photovoltaic Panels. Proceedings of the 2018 IEEE 7th World Conference on Photovoltaic Energy Conversion (WCPEC) (A Joint Conference of 45th IEEE PVSC, 28th PVSEC & 34th EU PVSEC). IEEE Press, 2018. pp. 0433-0437 (I E E E Photovoltaic Specialists Conference. Conference Record).

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title = "Correcting for Perspective Distortion in Electroluminescence Images of Photovoltaic Panels",

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, the proposed method yields good results, as assessed by visual evaluation.",

keywords = "Outdoor electroluminescence imaging, PV inspection, Perspective correction",

author = "Claire Mantel and Sergiu Spataru and Harsh Parikh and Dezso Sera and {A. dos Reis Benatto}, Gisele and Nicholas Reidel and Sune Thorsteinsson and Poulsen, {Peter B} and Soren Forchhammer",

year = "2018",

month = jun,

doi = "10.1109/PVSC.2018.8547724",

language = "English",

isbn = "978-1-5386-8530-3",

series = "I E E E Photovoltaic Specialists Conference. Conference Record",

publisher = "IEEE Press",

pages = "0433--0437",

booktitle = "Proceedings of the 2018 IEEE 7th World Conference on Photovoltaic Energy Conversion (WCPEC) (A Joint Conference of 45th IEEE PVSC, 28th PVSEC & 34th EU PVSEC)",

note = "7th World Conference on Photovoltaic Energy Conversion , WCPEC-7 ; Conference date: 10-06-2018 Through 15-06-2018",

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Mantel, C, Spataru, S, Parikh, H, Sera, D, A. dos Reis Benatto, G, Reidel, N, Thorsteinsson, S, Poulsen, PB & Forchhammer, S 2018, Correcting for Perspective Distortion in Electroluminescence Images of Photovoltaic Panels. in Proceedings of the 2018 IEEE 7th World Conference on Photovoltaic Energy Conversion (WCPEC) (A Joint Conference of 45th IEEE PVSC, 28th PVSEC & 34th EU PVSEC). IEEE Press, I E E E Photovoltaic Specialists Conference. Conference Record, pp. 0433-0437, 7th World Conference on Photovoltaic Energy Conversion , Waikoloa, Hawaii, United States, 10/06/2018. https://doi.org/10.1109/PVSC.2018.8547724

Correcting for Perspective Distortion in Electroluminescence Images of Photovoltaic Panels. / Mantel, Claire; Spataru, Sergiu; Parikh, Harsh et al.
Proceedings of the 2018 IEEE 7th World Conference on Photovoltaic Energy Conversion (WCPEC) (A Joint Conference of 45th IEEE PVSC, 28th PVSEC & 34th EU PVSEC). IEEE Press, 2018. p. 0433-0437 (I E E E Photovoltaic Specialists Conference. Conference Record).

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

TY - GEN

T1 - Correcting for Perspective Distortion in Electroluminescence Images of Photovoltaic Panels

AU - Mantel, Claire

AU - Spataru, Sergiu

AU - Parikh, Harsh

AU - Sera, Dezso

AU - A. dos Reis Benatto, Gisele

AU - Reidel, Nicholas

AU - Thorsteinsson, Sune

AU - Poulsen, Peter B

AU - Forchhammer, Soren

PY - 2018/6

Y1 - 2018/6

N2 - 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, the proposed method yields good results, as assessed by visual evaluation.

AB - 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, the proposed method yields good results, as assessed by visual evaluation.

KW - Outdoor electroluminescence imaging

KW - PV inspection

KW - Perspective correction

U2 - 10.1109/PVSC.2018.8547724

DO - 10.1109/PVSC.2018.8547724

M3 - Article in proceeding

SN - 978-1-5386-8530-3

T3 - I E E E Photovoltaic Specialists Conference. Conference Record

SP - 433

EP - 437

BT - Proceedings of the 2018 IEEE 7th World Conference on Photovoltaic Energy Conversion (WCPEC) (A Joint Conference of 45th IEEE PVSC, 28th PVSEC & 34th EU PVSEC)

PB - IEEE Press

T2 - 7th World Conference on Photovoltaic Energy Conversion

Y2 - 10 June 2018 through 15 June 2018

ER -

Mantel C, Spataru S, Parikh H, Sera D, A. dos Reis Benatto G, Reidel N et al. Correcting for Perspective Distortion in Electroluminescence Images of Photovoltaic Panels. In Proceedings of the 2018 IEEE 7th World Conference on Photovoltaic Energy Conversion (WCPEC) (A Joint Conference of 45th IEEE PVSC, 28th PVSEC & 34th EU PVSEC). IEEE Press. 2018. p. 0433-0437. (I E E E Photovoltaic Specialists Conference. Conference Record). doi: 10.1109/PVSC.2018.8547724

Correcting for Perspective Distortion in Electroluminescence Images of Photovoltaic Panels

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Conference

Keywords

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Projects

DronEL - Fast and accurate inspection of large photovoltaic plants using aerial drone imaging

Cite this