[1] Choi K, Suh J. Fault detection and power loss assessment for rooftop photovoltaics installed in a university campus， by use of UAV-based infrared thermography[J]. Energies, 16, 4513-4529(2023).

[2] Li X, Li W, Yang Q et al. An unmanned inspection system for multiple defects detection in photovoltaic plants[J]. IEEE Journal of Photovoltaics, 10, 568-576(2020).

[3] Segovia Ramirez I, Das B, Garcia Marquez F P. Fault detection and diagnosis in photovoltaic panels by radiometric sensors embedded in unmanned aerial vehicles[J]. Progress in Photovoltaics： Research and Applications, 30, 240-256(2022).

[4] Nie J, Luo T, Li H. Automatic hotspots detection based on UAV infrared images for large-scale PV plant[J]. Electronics Letters, 56, 993-995(2020).

[5] Zhang Z, Cao Y, Yang Q. Defect detection and classification of photovoltaic modules based on image fusion analysis[C], 2460-2465(2022).

[6] Ismail H, Rahmani A, Aljasmi N et al. Stitching approach for PV panel detection[C], 1-4(2020).

[7] Grimaccia F, Leva S, Niccolai A. PV plant digital mapping for modules' defects detection by unmanned aerial vehicles[J]. IET Renewable Power Generation, 11, 1221-1228(2017).

[8] Francesco G, Sonia L, Alessandro N. A semi-automated method for defect identification in large photovoltaic power plants using unmanned aerial vehicles[C]. OR, 1-5(2018).

[9] Aghaei M, Leva S, Grimaccia F. PV power plant inspection by image mosaicing techniques for IR real-time images[C]. OR, 3100-3105(2016).

[10] Kuo C F J, Chen S H, Huang C Y. Automatic detection， classification and localization of defects in large photovoltaic plants using unmanned aerial vehicles （UAV） based infrared （IR） and RGB imaging[J]. Energy Conversion and Management, 276, 116495(2023).

[11] Henry C, Poudel S, Lee S W et al. Automatic detection system of deteriorated pv modules using drone with thermal camera[J]. Applied Sciences, 10, 3802(2020).

[12] Tareen S A K, Saleem Z. A comparative analysis of SIFT， SURF， KAZE， AKAZE， ORB， and BRISK[C], 1-10(2018).

[13] Tan M, Le Q. Efficientnet： Rethinking model scaling for convolutional neural networks[C], 6105-6114(2019).

[14] He K, Zhang X, Ren S et al. Deep residual learning for image recognition[C], 770-778(2016).

[15] Howard A, Sandler M, Chu G et al. Searching for mobilenetv3[C], 1314-1324(2019).

[16] Radosavovic I, Kosaraju R P, Girshick R et al. Designing network design spaces[C]. WA, 10428-10436(2020).