An Efficient and Accurate Asteroid Inversion Algorithm

This paper mainly describes the Adam method under the problem of retrieving asteroid rotation and 3D model from radar 2D images. We improve on the traditional method by introducing computational graph and back propagation algorithm in deep learning to improve the operation speed and calculation accuracy of the gradient, and adopt Adam optimizer to accelerate the convergence speed and avoid local minimum. We compare this method with the existing Gauss-Newton method, Levenberg-Marquardt method, and conclude that the Adam method is better than the Gauss-Newton method and Levenberg-Marquardt method in convergence speed, two-dimensional image fitting accuracy, three-dimensional model fitting accuracy.

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Publication Details

Published
2024-11-22
DOI
https://doi.org/10.1109/icsidp62679.2024.10868193
Primary Topic
Astro and Planetary Science
Type
article
Field-Weighted Citation Impact
0.00

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article

An Efficient and Accurate Asteroid Inversion Algorithm

Zegang Ding, Gen Li, Zhang Na, Zehua Dong
Astro and Planetary Science
article

An Efficient and Accurate Asteroid Inversion Algorithm

Zegang Ding, Gen Li, Zhang Na, Zehua Dong
article en

Abstract

This paper mainly describes the Adam method under the problem of retrieving asteroid rotation and 3D model from radar 2D images. We improve on the traditional method by introducing computational graph and back propagation algorithm in deep learning to improve the operation speed and calculation accuracy of the gradient, and adopt Adam optimizer to accelerate the convergence speed and avoid local minimum. We compare this method with the existing Gauss-Newton method, Levenberg-Marquardt method, and conclude that the Adam method is better than the Gauss-Newton method and Levenberg-Marquardt method in convergence speed, two-dimensional image fitting accuracy, three-dimensional model fitting accuracy.

Beijing Institute of Technology (CN)
National Natural Science Foundation of China, Natural Science Foundation of Chongqing
Openalex Percentile: Top 80%
Astro and Planetary Science
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