The invention relates to the technical field of traffic monitoring, in particular to a traffic satellite monitoring method and system based on artificial intelligence, and the method comprises the steps: firstly training an image filling network and a vehicle detection network, and obtaining a trained image filling network and a trained vehicle detection network; obtaining time position sequence distribution data of historical traffic vehicles based on the historical remote sensing image data set; and finally, obtaining real-time vehicle distribution data based on the real-time satellite remote sensing image, and predicting the vehicle distribution data at the next moment based on the real-time vehicle distribution data and the time position sequence distribution data of historical traffic vehicles. According to the method, traffic distribution is predicted based on feature extraction and deep learning in combination with real-time satellite remote sensing images, use limitation is avoided, the method can be suitable for any scene, and a good basis is provided for avoiding traffic congestion.
本发明涉及交通监测技术领域,特别是涉及一种基于人工智能的交通卫星监测方法及系统,首先对图像填充网络和车辆检测网络进行训练,得到训练好的图像填充网络和训练好的车辆检测网络;然后基于历史遥感影像数据集得到历史交通车辆的时间位置序列分布数据;最后基于实时卫星遥感影像,得到实时车辆分布数据,并基于实时车辆分布数据和历史交通车辆的时间位置序列分布数据对下一时刻车辆分布数据进行预测。本发明基于特征提取与深度学习,结合实时卫星遥感影像对交通分布进行预测,没有使用限制,可以适用于任何场景,为避免交通拥挤提供了良好的基础。
Traffic satellite monitoring method and system based on artificial intelligence
一种基于人工智能的交通卫星监测方法及系统
2023-03-14
Patent
Electronic Resource
Chinese
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