TY - GEN
T1 - Three-dimensional asteroid reconstruction algorithm based on Multilayer Perceptron
AU - Pan, Ziyang
AU - Tian, Zhenming
AU - Yan, Chen
AU - Ding, Zegang
AU - Dong, Zehua
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - The three-dimensional reconstruction of asteroids is one of the most popular fields within asteroid research. In this paper, a simple Multilayer Perceptron neural network is proposed, which relies on ISAR radar to reconstruct the three-dimensional point cloud model of the asteroid. Compared with the traditional algorithm, it does not need to manually adjust a lot of parameters to complete the reconstruction of different asteroids, and the network structure is simple and lightweight, requiring very little training data. Simulation results demonstrate the effectiveness of this algorithm.
AB - The three-dimensional reconstruction of asteroids is one of the most popular fields within asteroid research. In this paper, a simple Multilayer Perceptron neural network is proposed, which relies on ISAR radar to reconstruct the three-dimensional point cloud model of the asteroid. Compared with the traditional algorithm, it does not need to manually adjust a lot of parameters to complete the reconstruction of different asteroids, and the network structure is simple and lightweight, requiring very little training data. Simulation results demonstrate the effectiveness of this algorithm.
KW - 3D point cloud reconstruction of asteroid
KW - Delay-doppler images
KW - Multilayer Perceptron
UR - https://www.scopus.com/pages/publications/86000008504
U2 - 10.1109/ICSIDP62679.2024.10868242
DO - 10.1109/ICSIDP62679.2024.10868242
M3 - Conference contribution
AN - SCOPUS:86000008504
T3 - IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024
BT - IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2nd IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024
Y2 - 22 November 2024 through 24 November 2024
ER -