The invention relates to the technical field of space target collision early warning, and discloses a deep learning-based space target collision early warning method, which comprises the following steps of S1, self-supervised training; step S2, data acquisition; s3, performing view enhancement on each piece of image data in the step S2 to obtain two enhanced view images; step S4, feature pixel extraction is carried out on each image, then each image is trained based on a pre-trained pull-down task, and a training model of each image is obtained; s5, constructing a three-dimensional TIN model through the coordinate information of the image data in the step S2 in combination with dense point clouds, predicting the post-motion trend of the space target, and comparing the post-motion trend with the pre-motion trajectory of the space target; and step S6, collision early warning, and the method can efficiently and rapidly carry out track trend pre-judgment on the space target, thereby making a timely response for collision early warning.
本发明涉及空间目标碰撞预警技术领域,并公开了一种基于深度学习的空间目标碰撞预警方法,包括如下步骤,步骤S1,自监督训练;步骤S2,数据获取;步骤S3,对步骤S2每张图像数据进行视图增强,得到两个增强的视图图像;步骤S4,在每个图像上进行特征像素提取,然后基于预训练的下拉任务对每个图像进行训练,获得各个图像的训练模型;步骤S5,通过步骤S2的图像数据的坐标信息,结合密集点云构建三维TIN模型,对空间目标的后运动趋势进行预测,并与空间目标的前运动轨迹进行比对;步骤S6,碰撞预警,本发明可以高效迅速的对空间目标进行轨迹趋势的预判,从而为碰撞预警做出及时反应。
Deep learning-based space target collision early warning method
一种基于深度学习的空间目标碰撞预警方法
22.12.2023
Patent
Elektronische Ressource
Chinesisch
IPC: | G06T Bilddatenverarbeitung oder Bilddatenerzeugung allgemein , IMAGE DATA PROCESSING OR GENERATION, IN GENERAL / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / G06V / G08B SIGNALLING OR CALLING SYSTEMS , Signalisier- oder Rufsysteme / G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS |
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