Three-dimensional asteroid reconstruction algorithm based on Multilayer Perceptron
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.
Authors
- Zijian Tian (ORCID: https://orcid.org/0000-0002-4389-8821)
- Yan Chen (ORCID: https://orcid.org/0000-0001-7239-262X)
- Zehua Dong
- Zhong Pan (ORCID: https://orcid.org/0000-0002-1775-8104)
- Zegang Ding
Institutions
- Beijing Institute of Technology (CN)
Publication Details
- Published
- 2024-11-22
- DOI
- https://doi.org/10.1109/icsidp62679.2024.10868242
- Primary Topic
- Image Processing and 3D Reconstruction
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Natural Science Foundation of Chongqing