Towards a Holistic Approach for UAV-Based Large-Scale Photovoltaic Inspection: A Review on Deep Learning and Image Processing Techniques

Towards a Holistic Approach for UAV-Based Large-Scale Photovoltaic Inspection: A Review on Deep Learning and Image Processing Techniques

This paper provides an in-depth literature review on image processing techniques, focusing on deep learning approaches for anomaly detection and classification in photovoltaics. It examines key components of UAV-based PV inspection, including data acquisition protocols, panel segmentation and geoloc...

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Bibliographic Details
Main Authors: Zoubir Barraz, Imane Sebari, Kenza Ait El Kadi, Ibtihal Ait Abdelmoula
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Technologies
Subjects:
anomaly classification
deep learning
holistic approach
image analysis
large-scale photovoltaic installations inspection
photovoltaic module segmentation
Online Access:https://www.mdpi.com/2227-7080/13/3/117
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