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Print: ISSN 0914-4935
Online: ISSN 2435-0869
Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
Online: ISSN 2435-0869
Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
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Sensors and Materials
is covered by Science Citation Index Expanded (Clarivate Analytics), Scopus (Elsevier), and other databases.
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Sensors and Materials
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is covered by Science Citation Index Expanded (Clarivate Analytics), Scopus (Elsevier), and other databases.
Instructions to authors
English 日本語
Instructions for manuscript preparation
English 日本語
Template
English
Publisher
MYU K.K.
Sensors and Materials
1-23-3-303 Sendagi,
Bunkyo-ku, Tokyo 113-0022, Japan
Tel: 81-3-3827-8549
Fax: 81-3-3827-8547
MYU Research, a scientific publisher, seeks a native English-speaking proofreader with a scientific background. B.Sc. or higher degree is desirable. In-office position; work hours negotiable. Call 03-3827-8549 for further information.
MYU Research
(proofreading and recording)
MYU K.K.
(translation service)
The Art of Writing Scientific Papers
(How to write scientific papers)
(Japanese Only)
Sensors and Materials, Volume 34, Number 12(5) (2022)
Copyright(C) MYU K.K.
Copyright(C) MYU K.K.
|
pp. 4755-4767
S&M3141 Research Paper of Special Issue https://doi.org/10.18494/SAM3999 Published: December 28, 2022 Comparative Evaluation of Tracking Capability of Spatial Patterns on Defective Urban Solar Panels between Unmanned Aerial Vehicle Video Stream and Photomosaics [PDF] Young-Seok Hwang, Jung-Sup Um, and Jun-Hyun Kim (Received June 25, 2022; Accepted September 22, 2022) Keywords: unmanned aerial vehicle (UAV), video, solar panel, photomosaic, thermal deficiency, hot spots, clustering
Unmanned aerial vehicle (UAV) autopilot flight requires a specific altitude when inspecting defective urban solar panels to avoid obstacles such as high-rise buildings, trees, and telegraph poles. Therefore, autopilot-based thermal imaging has severe data redundancy because the non-solar panel area occupies more than 99% of the ground target. We aim to explore the tracking capability of a UAV video stream for defective urban solar panels by comparing spatial and clustering patterns with autopilot-based photomosaics. The spatial patterns of distributions and clusters in defective solar panels have high similarity (80–100%) to those of autopilot-based photomosaics. The results of this study can serve as a valuable reference for video-stream-based thermal deficiency inspections of defective solar panels in urban areas.
Corresponding author: Jun-Hyun Kim  This work is licensed under a Creative Commons Attribution 4.0 International License. Cite this article Young-Seok Hwang, Jung-Sup Um, and Jun-Hyun Kim, Comparative Evaluation of Tracking Capability of Spatial Patterns on Defective Urban Solar Panels between Unmanned Aerial Vehicle Video Stream and Photomosaics, Sens. Mater., Vol. 34, No. 12, 2022, p. 4755-4767. |
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