TY - GEN
T1 - Satellite Attitude Change Recognition Based on Multi-Frame Image by 3D Convolutional Neural Networks
AU - Yuan, Haoxuan
AU - Zhang, Yun
AU - Gong, Xiaodong
AU - Li, Hongbo
AU - Niu, Muqun
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/9/26
Y1 - 2020/9/26
N2 - The recognition of satellite's attitude change plays an important role in the detection, tracking and recognition of space targets, as well as the evaluation, verification of space events and environmental monitoring and prediction. In this paper, 3D-CNN model is used to extract features from spatial and temporal dimensions, and then 3D convolution is carried out to capture motion information from multiple consecutive frames. Four common attitude changes of three different kinds of satellites are simulated, which are orbit change, spin, reconnaissance and maneuver. A proper number of consecutive frames are sent into packets and sent to the network for training. The experimental result shows that 3D-CNN model has a competitive performance.
AB - The recognition of satellite's attitude change plays an important role in the detection, tracking and recognition of space targets, as well as the evaluation, verification of space events and environmental monitoring and prediction. In this paper, 3D-CNN model is used to extract features from spatial and temporal dimensions, and then 3D convolution is carried out to capture motion information from multiple consecutive frames. Four common attitude changes of three different kinds of satellites are simulated, which are orbit change, spin, reconnaissance and maneuver. A proper number of consecutive frames are sent into packets and sent to the network for training. The experimental result shows that 3D-CNN model has a competitive performance.
KW - 3D-CNN
KW - Satellite Attitude Recognition
KW - Space situation awareness
UR - https://www.scopus.com/pages/publications/85101962682
U2 - 10.1109/IGARSS39084.2020.9323372
DO - 10.1109/IGARSS39084.2020.9323372
M3 - 会议稿件
AN - SCOPUS:85101962682
T3 - International Geoscience and Remote Sensing Symposium (IGARSS)
SP - 2615
EP - 2618
BT - 2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020
Y2 - 26 September 2020 through 2 October 2020
ER -