Paper
18 November 2022 Research on segmentation algorithm of rooftop distributed PV arrays based on deep learning
Mingchao Guo
Author Affiliations +
Proceedings Volume 12473, Second International Conference on Optics and Communication Technology (ICOCT 2022); 124731C (2022) https://doi.org/10.1117/12.2653426
Event: Second International Conference on Optics and Communication Technology (ICOCT 2022), 2022, Hefei, China
Abstract
Hot spot detection is a very important aspect in the field of PV plant inspection, and with the development of UAV technology, PV hot spot detection by UAV based on image processing has gradually emerged. To solve this problem, this paper introduces a deep learning model for coarse detection of PV regions to remove background interference, and uses image preprocessing, convolutional operations, morphological operations and Hough line transformation to finally achieve component-level segmentation of PV arrays. The experimental results show that the algorithm of this paper can segment the PV array accurately and quickly, and the effect is better than the traditional segmentation algorithm.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Mingchao Guo "Research on segmentation algorithm of rooftop distributed PV arrays based on deep learning", Proc. SPIE 12473, Second International Conference on Optics and Communication Technology (ICOCT 2022), 124731C (18 November 2022); https://doi.org/10.1117/12.2653426
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KEYWORDS
Image segmentation

Photovoltaics

Detection and tracking algorithms

Image processing algorithms and systems

Solar cells

Infrared imaging

Infrared radiation

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