Aircraft Detection for Remote Sensing Images Based on Deep Convolutional Neural Networks

Table 2

The comparison of performance indicators for the aircraft.

	TP	FP	FN	Precision (%)	Recall (%)	F1-score (%)	IOU (%)	AP (%)	FPS
YOLOv3	936	99	116	90.43	88.97	89.70	67.42	89.24	30
MSDN	1000	30	52	97.09	95.06	96.06	75.76	90.64	28
MSRDN-F	998	18	54	98.23	94.87	96.52	78.91	90.67	25
MSRDN-M	1002	18	50	98.24	95.25	96.72	79.06	90.66	25
MSRDN-B	995	25	57	97.55	94.58	96.04	78.35	90.66	25