Local feature descriptor for multispectral image matching of a large-scale pv array
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 h...
| Main Authors: | , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
Institute of Electrical and Electronics Engineers Inc.
2022
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| Online Access: | http://umpir.ump.edu.my/id/eprint/39433/ http://umpir.ump.edu.my/id/eprint/39433/1/Local%20Feature%20Descriptor%20for%20Multispectral%20Image%20Matching%20of%20a%20Large.pdf http://umpir.ump.edu.my/id/eprint/39433/2/Local%20feature%20descriptor%20for%20multispectral%20image%20matching%20of%20a%20large-scale%20pv%20array_ABS.pdf |
| _version_ | 1848825767943733248 |
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| author | Tan, Li Ven Mohd Shawal, Jadin Kamarul Hawari, Ghazali Ahmad Syahiman, Mohd Shah Muhammad Khusairi, Osman |
| author_facet | Tan, Li Ven Mohd Shawal, Jadin Kamarul Hawari, Ghazali Ahmad Syahiman, Mohd Shah Muhammad Khusairi, Osman |
| author_sort | Tan, Li Ven |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-15T03:34:10Z |
| format | Conference or Workshop Item |
| id | ump-39433 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-15T03:34:10Z |
| publishDate | 2022 |
| publisher | Institute of Electrical and Electronics Engineers Inc. |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-394332023-11-29T07:13:42Z http://umpir.ump.edu.my/id/eprint/39433/ Local feature descriptor for multispectral image matching of a large-scale pv array Tan, Li Ven Mohd Shawal, Jadin Kamarul Hawari, Ghazali Ahmad Syahiman, Mohd Shah Muhammad Khusairi, Osman T Technology (General) TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering 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. Institute of Electrical and Electronics Engineers Inc. 2022 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/39433/1/Local%20Feature%20Descriptor%20for%20Multispectral%20Image%20Matching%20of%20a%20Large.pdf pdf en http://umpir.ump.edu.my/id/eprint/39433/2/Local%20feature%20descriptor%20for%20multispectral%20image%20matching%20of%20a%20large-scale%20pv%20array_ABS.pdf 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 (Published) https://doi.org/10.1109/I2CACIS54679.2022.9815491 |
| spellingShingle | T Technology (General) TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering Tan, Li Ven Mohd Shawal, Jadin Kamarul Hawari, Ghazali Ahmad Syahiman, Mohd Shah Muhammad Khusairi, Osman Local feature descriptor for multispectral image matching of a large-scale pv array |
| title | Local feature descriptor for multispectral image matching of a large-scale pv array |
| title_full | Local feature descriptor for multispectral image matching of a large-scale pv array |
| title_fullStr | Local feature descriptor for multispectral image matching of a large-scale pv array |
| title_full_unstemmed | Local feature descriptor for multispectral image matching of a large-scale pv array |
| title_short | Local feature descriptor for multispectral image matching of a large-scale pv array |
| title_sort | local feature descriptor for multispectral image matching of a large-scale pv array |
| topic | T Technology (General) TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering |
| url | http://umpir.ump.edu.my/id/eprint/39433/ http://umpir.ump.edu.my/id/eprint/39433/ http://umpir.ump.edu.my/id/eprint/39433/1/Local%20Feature%20Descriptor%20for%20Multispectral%20Image%20Matching%20of%20a%20Large.pdf http://umpir.ump.edu.my/id/eprint/39433/2/Local%20feature%20descriptor%20for%20multispectral%20image%20matching%20of%20a%20large-scale%20pv%20array_ABS.pdf |