【摘要】 为实现高精度的航空图像目标检测，将Anchor free的目标检测算法CenterNet应用到检测中，同时使用Resnet50主干网络，并引入CIoU损失替代原有损失函数对网络模型做出了改进。改进后的算法在RSOD与DIOR数据集上进行测试，结果显示在保证网络轻量化的前提下检测精度有明显的提高，证明了算法在航空目标检测方面的可行性与准确性。更多还原

【Abstract】 In order to achieve high-precision aerial image object detection, an Anchor free object detection algorithm CenterNet is applied to the detection. Meanwhile, the Resnet50 backbone is implemented and the CIoU loss is introduced to replaces the original loss function to improve the network model. The improved algorithm is tested on the RSOD and DIOR dataset, and the results show that the detection accuracy has been significantly improved under the premise of ensuring the lightweight of the network, which proved the feasibility and accuracy of the algorithm in aviation target detection.更多还原