scholarly journals A Robust Star Identification Algorithm with Multi-resolution Radial Pattern and Its Hardware Implementation

◽  
2019 ◽  
Keyword(s):  
Hardware Implementation ◽  
Identification Algorithm ◽  
Radial Pattern ◽  
Star Identification

STAR IDENTIFICATION ALGORITHM FOR UNCALIBRATED, WIDE FOV CAMERAS

2015 ◽  
Vol 149 (6) ◽  
pp. 182 ◽  
Author(s):  
Mohamad Javad Ajdadi ◽  
Mahdi Ghafarzadeh ◽  
Mojtaba Taheri ◽  
Ehsan Mosadeq ◽  
Mahdi Khakian Ghomi
Keyword(s):  
Identification Algorithm ◽  
Star Identification ◽  
Wide Fov

scholarly journals An End-to-End Identification Algorithm for Smearing Star Image

2021 ◽  
Vol 13 (22) ◽  
pp. 4541
Author(s):  
Jinliang Han ◽  
Xiubin Yang ◽  
Tingting Xu ◽  
Zongqiang Fu ◽  
Lin Chang ◽  
...  
Keyword(s):  
Neural Networks ◽  
Feature Extraction ◽  
Semantic Information ◽  
The Self ◽  
Identification Algorithm ◽  
Identification Rate ◽  
Star Image ◽  
Star Identification ◽  
Angular Velocities ◽  
End To End

In the previous study, there were a few direct star identification (star-ID) algorithms for smearing star image. An end-to-end star-ID algorithm is proposed in this article, to directly identify the smearing image from star sensors with fast attitude maneuvering. Combined with convolutional neural networks and the self-attention mechanism of transformer encoder, the algorithm can effectively classify the smearing image and identify the star. Through feature extraction and position encoding, neural networks learn the position of stars to generate semantic information and realize the end-to-end identification for the smearing star image. The algorithm can also solve the problem of low identification rate due to smearing of long exposure time for images. A dataset of dynamic stars is analyzed and constructed based on multiple angular velocities. Experiment results show that, compared with representative algorithms, the identification rate of the proposed algorithm is improved at high angular velocities. When the three-axis angular velocity is 10°/s, the rate is still 60.4%. At the same time, the proposed algorithm has good robustness to position noise and magnitude noise.

Fast star identification algorithm based on multi-feature matching

2019 ◽  
Vol 27 (8) ◽  
pp. 1870-1879
Author(s):  
王 军 WANG Jun ◽  
何 昕 HE Xin ◽  
魏仲慧 WEI Zhong-hui ◽  
吕 游 L You ◽  
穆治亚 MU Zhi-ya
Keyword(s):  
Feature Matching ◽  
Identification Algorithm ◽  
Star Identification

scholarly journals Efficient Star Identification Using a Neural Network

Sensors ◽  
2020 ◽  
Vol 20 (13) ◽  
pp. 3684
Author(s):  
David Rijlaarsdam ◽  
Hamza Yous ◽  
Jonathan Byrne ◽  
Davide Oddenino ◽  
Gianluca Furano ◽  
...  
Keyword(s):  
Neural Network ◽  
Attitude Determination ◽  
Lightweight Design ◽  
A Priori ◽  
Search Time ◽  
Identification Algorithm ◽  
Star Sensor ◽  
Feature Extraction Method ◽  
Star Identification ◽  
Space Star

The required precision for attitude determination in spacecraft is increasing, providing a need for more accurate attitude determination sensors. The star sensor or star tracker provides unmatched arc-second precision and with the rise of micro satellites these sensors are becoming smaller, faster and more efficient. The most critical component in the star sensor system is the lost-in-space star identification algorithm which identifies stars in a scene without a priori attitude information. In this paper, we present an efficient lost-in-space star identification algorithm using a neural network and a robust and novel feature extraction method. Since a neural network implicitly stores the patterns associated with a guide star, a database lookup is eliminated from the matching process. The search time is therefore not influenced by the number of patterns stored in the network, making it constant (O(1)). This search time is unrivalled by other star identification algorithms. The presented algorithm provides excellent performance in a simple and lightweight design, making neural networks the preferred choice for star identification algorithms.

scholarly journals RPNet: A Representation Learning-Based Star Identification Algorithm

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 92193-92202 ◽  
Author(s):  
Likai Xu ◽  
Jie Jiang ◽  
Lei Liu
Keyword(s):  
Representation Learning ◽  
Identification Algorithm ◽  
Star Identification

Star Identification Algorithm Based on Log-Polar Transform

2009 ◽  
Vol 6 (8) ◽  
pp. 483-490 ◽  
Author(s):  
Xinguo Wei ◽  
Guangjun Zhang ◽  
Jie Jiang
Keyword(s):  
Identification Algorithm ◽  
Star Identification
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