Local feature descriptor for multispectral image matching of a large-scale pv array

Tan, Li Ven and Mohd Shawal, Jadin and Kamarul Hawari, Ghazali and Ahmad Syahiman, Mohd Shah and Muhammad Khusairi, Osman (2022) Local feature descriptor for multispectral image matching of a large-scale pv array. In: 2022 IEEE International Conference on Automatic Control and Intelligent Systems, I2CACIS 2022 - Proceedings , 25 June 2022 , Shah Alam. pp. 230-235. (180716). ISBN 978-166549581-3

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Abstract

Possible faults in the photovoltaic modules must be detected early in order to preserve their long-term reliability while maximizing power output. Aerial thermal image inspection is frequently used to detect and locate photovoltaic module hotspots. However, noises can make it difficult to detect a hotspot from this image, causing the hotspot to be incorrectly located due to thermal reflection from the environment. Examining both visual and thermal images of photovoltaic modules appears to be one of the solutions. The multispectral image matching of photovoltaic modules is presented in this paper. The absolute structure map (SMi) and the directional structure map (DSMi) are proposed. The local region of each interest point is then described using a histogram of the oriented gradient based on the SMi and DSMi. For the SMi, the Gabor wavelet filter is applied, whereas the average filter is applied to the DSMi for the construction of the histogram bins. Finally, the normalized feature vectors are merged. Experiments were carried out to evaluate the performance of the proposed structure map feature descriptor. According to the findings, this approach could give precision and recall up to 0.82 and 0.97 respectively.

Item Type:	Conference or Workshop Item (Lecture)
Additional Information:	Indexed by Scopus
Uncontrolled Keywords:	Feature matching; Hotspot; Local feature descriptor; Multispectral image; Photovoltaic
Subjects:	T Technology > T Technology (General) T Technology > TA Engineering (General). Civil engineering (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division:	Institute of Postgraduate Studies College of Engineering Faculty of Electrical and Electronic Engineering Technology
Depositing User:	Mr Muhamad Firdaus Janih@Jaini
Date Deposited:	29 Nov 2023 07:13
Last Modified:	29 Nov 2023 07:13
URI:	http://umpir.ump.edu.my/id/eprint/39433
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