A Channel-Based Attention Deep Semantic Segmentation Model for the Extraction of Multi-type Solar Photovoltaic Arrays from Large-Scale Orthorectified UAV RGB Imagery
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-7660-5_36
Reference18 articles.
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2. Zefri, Y., Elkettani, A., Sebari, I., Lamallam, S.A.: Thermal infrared and visual inspection of photovoltaic installations by UAV photogrammetry—application case: Morocco. Drones 2 (2018). https://doi.org/10.3390/drones2040041
3. Høiaas, I., Grujic, K., Gerd, A., Burud, I.: Inspection and condition monitoring of large-scale photovoltaic power plants : a review of imaging technologies. Renew. Sustain. Energy Rev. 161, 112353 (2022). https://doi.org/10.1016/j.rser.2022.112353
4. Yahya, Z., Imane, S., Hicham, H., et al.: Applied imagery pattern recognition for photovoltaic modules’ inspection: a review on methods, challenges and future development. Sustain. Energy Technol. Assess. 52, 102071 (2022). https://doi.org/10.1016/j.seta.2022.102071
5. Zefri, Y., Sebari, I., Hajji, H., Aniba, G.: In-depth investigation of applied digital photogrammetry to imagery-based RGB and thermal infrared aerial inspection of large-scale photovoltaic installations. Remote Sens. Appl. Soc. Environ. 23, 100576 (2021). https://doi.org/10.1016/j.rsase.2021.100576
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