[1] Wang Q,Wang W,LiZ,etal.Close-range transmission line inspection method for low-cost UAV: Design and implementation[J] .Remote Sens.,2023,15(19) : 4841.
[2] AssiriM,SartoriA,PersichettiA,etal.Leafarea index and aboveground biomass estimation of an alpine peatland with a UAV multi-sensorapproach[J] .GISci.RemoteSens.,2023,60(1) : 2270791.
[3] Zhang G.6G enabled UAV traffic management models using deep learning algorithms[J] .Wireless Netw.,2023,1-11.
[7] Girshick R,Donahue J,Darrell T,et al.Rich feature hierarchies for accurate object detection and semantic segmentation[ C]// Proc.of the IEEE Conf.on Computer Vision and Pattern Recognition,2014: 580-587.
[8] Girshick R.Fast R-CNN [ C]// Proc.of the IEEE Inter.Conf.on ComputerVision,2015: 1440-1448.
[9] Ren S,He K,Girshick R,et al.Faster R-CNN : Towards realtime object detection with region proposal networks[J] .Adv.in NeuralInf.Process.Syst.,2015,39(6) : 91-99.
[10] Redmon J,DivvalaS,Girshick R,etal.You onlylook once: Unified,real-time object detection[ C]// Proc.of the 2016 IEEE Conf.on Computer Vision and Pattern Recognition,2016: 779-788.
[11] Redmon J,FarhadiA.YOLO9000: Better,faster,stronger [C]//Proc.ofthe2017IEEE Conf.on ComputerVision and Pattern Recognition,Piscataway,2017: 7263-7271.
[13] Liu W,Anguelov D,Erhan D,et al.SSD: Single shot multiboxdetector[C]//ComputerVision-ECCV 2016,2016:21-37.
[14] Zhang S,Wen L,Bian X,et al.Single-shot refinement neuralnetwork forobjectdetection[C]// Proc.of the IEEE Conf.on Computer Vision and Pattern Recognition,2018:4203-4212.
[15] Yang F,Fan H,Chu P,et al.Clustered object detection in aerialimages[C]//Proc.ofthe IEEE/CVF Inter.Conf.on ComputerVision,2019: 8311-8320.
[16] Duan C,WeiZ,Zhang C,etal.Coarse-grained density map guided object detection in aerial images[ C]// Proc.of the IEEE/CVF Inter.Conf.on Computer Vision,2021: 2789- 2798.
[17] Yang C,Huang Z,Wang N.QueryDet: Cascaded sparse query for accelerating high-resolution small object detection [C]// Proc.of the IEEE/CVF Conf.on Computer Vision and Pattern Recognition,2022: 13668-13677.
[18] Yang Y,Gao X,WangY,etal.VAMYOLOX: An accurate and efficient object detection algorithm based on visual attention mechanism for UAV optical sensors[J] .IEEE Sens.J.,2022,23(11) : 11139-11155.
[19] GeZ,Liu S,Wang F,et al.YOLOX: Exceeding YOLO series in2021[EB/OL] .2021: arXiv: 2107.08430.https:// arxiv.org/abs/2107.08430.
[20] Wang G,Chen Y,An P,et al.UAV-YOLOv8: A small- object-detection modelbased on improved YOLOv8forUAV aerial photography scenarios[J] .Sensors,2023,23( 16) :7190.
[21] Pandey V,Anand K,Kalra A,et al.Enhancing object detection in aerialimages[J] .Math.Biosci.Eng.,2022,19(8) : 7920-7932.
[22] Tong Z,Chen Y,Xu Z,et al.Wise-IoU : Bounding box regression loss with dynamic focusing mechanism[EB/OL] .2023: arXiv: 2301.10051.https://arxiv.org/abs/2301.10051.
[23] LiX,Wang W,Wu L,et al.Generalized focal loss: Learning qualified and distributed bounding boxes for dense object detection[J] .Adv.in Neural Inf.Process.Syst.,2020,33: 21002-21012.
[24] Zheng Z,Wang P,Liu W,etal.Distance-IoU loss: Faster and betterlearning for bounding box regression[C]// Proc.ofthe AAAIConf.on ArtificialIntelligence,2020: 12993- 13000.
[25] LiuS,Qi L,Qin H,et al.Path aggregation network for instance segmentation[ C]// Proc.of the IEEE Conf.on ComputerVision and Pattern Recognition,2018: 8759-8768.
[26] Tan M,PangR,Le QV.Efficientdet: Scalableand efficient object detection[ C]// Proc.of the IEEE/CVF Conf.on Computer Vision and Pattern Recognition,2020: 10781-10790.
[27] Ding X,Zhang X,Han J,et al.Diverse branch block: Building a convolution asan inception-likeunit[C]//Proc.of the IEEE/CVF Conf.on Computer Vision and Pattern Recognition,2021: 10886-10895.
[28] YangJ,LiC,DaiX,et al.Focal modulation networks[J] .Adv.in NeuralInf.Process.Syst.,2022,35: 4203-4217.