基于系留无人机的应急测绘技术应用
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						       		王永全, 李清泉, 汪驰升, 朱家松, 王新雨
						  	
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				Tethered UAVs-based applications in emergency surveying and mapping
			
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						       		Yongquan WANG, Qingquan LI, Chisheng WANG, Jiasong ZHU, Xinyu WANG
						  	
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		表1 YOLO与其他算法处理COCO数据集的对比[14]
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		Tab.1 Comparison of YOLO and other algorithms for processing COCO data sets
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			   | 算法 |  训练集 |  测试集 |  平均精 度均值/% |  FLOPS |  FPS |  Cfg |  Weights |       | SSD300 |  COCO trainval |  test-dev |  41.2 |  - |  46 |   |  link |     | Tiny YOLO |  COCO trainval |  test-dev |  23.7 |  5.41 Bn |  244 |  cfg |  weights |     | DSSD321 |  COCO trainval |  test-dev |  46.1 |  - |  12 |   |  link |     | R-FCN |  COCO trainval |  test-dev |  51.9 |  - |  12 |   |  link |     | SSD513 |  COCO trainval |  test-dev |  50.4 |  - |  8 |   |  link |     | DSSD513 |  COCO trainval |  test-dev |  53.3 |  - |  6 |   |  link |     | FPN FRCN |  COCO trainval |  test-dev |  59.1 |  - |  6 |   |  link |     | Retinanet-101-500 |  COCO trainval |  test-dev |  53.1 |  - |  11 |   |  link |     | YOLOv3-320 |  COCO trainval |  test-dev |  51.5 |  38.97 Bn |  45 |  cfg |  weights |     | YOLOv3-tiny |  COCO trainval |  test-dev |  33.1 |  5.56 Bn |  220 |  cfg |  weights |     | YOLOv3-spp |  COCO trainval |  test-dev |  60.6 |  141.45 Bn |  20 |  cfg |  weights |      
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