Three-dimensional asteroid reconstruction algorithm based on Multilayer Perceptron

Ziyang Pan; Zhenming Tian; Chen Yan; Zegang Ding; Zehua Dong

doi:10.1109/ICSIDP62679.2024.10868242

Three-dimensional asteroid reconstruction algorithm based on Multilayer Perceptron

Ziyang Pan, Zhenming Tian, Chen Yan, Zegang Ding, Zehua Dong^*

^*Corresponding author for this work

School of Information and Electronics

Beijing Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

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.

Original language	English
Title of host publication	IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9798331515669
DOIs	https://doi.org/10.1109/ICSIDP62679.2024.10868242
Publication status	Published - 2024
Event	2nd IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024 - Zhuhai, China Duration: 22 Nov 2024 → 24 Nov 2024

Publication series

Name	IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024

Conference

Conference	2nd IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024
Country/Territory	China
City	Zhuhai
Period	22/11/24 → 24/11/24

Keywords

3D point cloud reconstruction of asteroid
Delay-doppler images
Multilayer Perceptron

Access to Document

10.1109/ICSIDP62679.2024.10868242

Cite this

Pan, Z., Tian, Z., Yan, C., Ding, Z., & Dong, Z. (2024). Three-dimensional asteroid reconstruction algorithm based on Multilayer Perceptron. In IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024 (IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICSIDP62679.2024.10868242

Pan, Ziyang ; Tian, Zhenming ; Yan, Chen et al. / Three-dimensional asteroid reconstruction algorithm based on Multilayer Perceptron. IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024. Institute of Electrical and Electronics Engineers Inc., 2024. (IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024).

@inproceedings{e55c1a76fdf442e0a754773751ff4830,

title = "Three-dimensional asteroid reconstruction algorithm based on Multilayer Perceptron",

abstract = "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.",

keywords = "3D point cloud reconstruction of asteroid, Delay-doppler images, Multilayer Perceptron",

author = "Ziyang Pan and Zhenming Tian and Chen Yan and Zegang Ding and Zehua Dong",

note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 2nd IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024 ; Conference date: 22-11-2024 Through 24-11-2024",

year = "2024",

doi = "10.1109/ICSIDP62679.2024.10868242",

language = "English",

series = "IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024",

address = "United States",

}

Pan, Z, Tian, Z, Yan, C, Ding, Z & Dong, Z 2024, Three-dimensional asteroid reconstruction algorithm based on Multilayer Perceptron. in IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024. IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024, Institute of Electrical and Electronics Engineers Inc., 2nd IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024, Zhuhai, China, 22/11/24. https://doi.org/10.1109/ICSIDP62679.2024.10868242

Three-dimensional asteroid reconstruction algorithm based on Multilayer Perceptron. / Pan, Ziyang; Tian, Zhenming; Yan, Chen et al.
IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024. Institute of Electrical and Electronics Engineers Inc., 2024. (IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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

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

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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 -

Pan Z, Tian Z, Yan C, Ding Z , Dong Z. Three-dimensional asteroid reconstruction algorithm based on Multilayer Perceptron. In IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024. Institute of Electrical and Electronics Engineers Inc. 2024. (IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024). doi: 10.1109/ICSIDP62679.2024.10868242

Three-dimensional asteroid reconstruction algorithm based on Multilayer Perceptron

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