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Improved Grid Algorithm Based on Star Pair Pattern and Two-dimensional Angular Distances for Full-sky Star Identification
2019
IEEE Access
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Secondly, the two-dimensional angular distance features are used instead of grid features in Cartesian coordinates to improve the robustness towards positional noise. ...
Firstly, star pair patterns are constructed rather than star patterns. ...
Secondly, the two-dimensional angular distance features are used to improve the robustness towards positional noise. ...
doi:10.1109/access.2019.2961271
fatcat:7nwym67bx5gn5o6txu5idsufqm
Evaluation of Star Identification Techniques
1997
Journal of Guidance Control and Dynamics
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The Internet Archive has digitized a microfilm copy of this work. It may be possible to borrow a copy for reading.
The algorithms se- lected include a triangle matching approach, one based on forming match groups or pole stars, and finally a pattern-based approach using an oriented grid. ...
., “A Pattern-Matching Algorithm for Two-Dimensional Coor- dinate Lists,” Astronomical Journal, Vol. 91, 1986, pp. 1244-1248.
'2 Padgett, C., and Kreutz-Delgado, K., “A Grid Algorithm for Star Iden- tification ...
doi:10.2514/2.4061
fatcat:64s5juyfmveivlkpzfngo4znne
An Efficient and Robust Star Identification Algorithm Based on Neural Networks
2021
Sensors
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A lost-in-space star identification algorithm based on a one-dimensional Convolutional Neural Network (1D CNN) is proposed. ...
of the pyramid, optimized grid and modified log-polar algorithms. ...
The existing LIS star identification algorithms can be classified roughly into two categories: subgraph isomorphism based algorithms and pattern recognition based algorithms. ...
doi:10.3390/s21227686
pmid:34833762
pmcid:PMC8620066
fatcat:cnybw25ykvaqvazkvbpkonely4
Star Identification Based on Multilayer Voting Algorithm for Star Sensors
2021
Sensors
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than the geometric voting algorithm and optimized grid algorithm. ...
This paper describes the multilayer voting algorithm, a novel autonomous star identification method for spacecraft attitude determination. ...
The multilayer voting algorithm involves two voting processes: the initial match step based on the triangle unit voting and the verification step based on star pairs voting. ...
doi:10.3390/s21093084
pmid:33925177
fatcat:whxcxwvdxfc4bc5s67dvzrw2pm
A Survey on Star Identification Algorithms
2009
Algorithms
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The author surveys algorithms used in star identification, commonly used in star trackers to determine the attitude of a spacecraft. ...
The paper covers: (a) lost-in-space algorithms (when no a priori attitude information is available), (b) recursive algorithms (when some a priori attitude information is available), and (c) non-dimensional ...
of independent pattern features in the star features based on how many stars are used in a pattern. ...
doi:10.3390/a2010093
fatcat:ghsgufayq5hffmlbgaj3kb47km
A Survey of Lost-in-Space Star Identification Algorithms since 2009
2020
Sensors
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A taxonomy of these algorithms based on their feature extraction method is defined. ...
In this paper, the 2009 survey by Spratling and Mortari is extended and recent lost-in-space star identification algorithms are surveyed. ...
We would also like to express our gratitude to Daniele Mortari for his patience and extensive feedback. ...
doi:10.3390/s20092579
pmid:32369986
pmcid:PMC7248786
fatcat:qdzqs4roe5azfppgzy6hpxeeoq
Geometric voting algorithm for star trackers
2008
IEEE Transactions on Aerospace and Electronic Systems
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The algorithm is based on a geometric voting scheme in which a pair of stars in the catalogue votes for a pair of stars in the image if the angular distance between the stars of both pairs is similar. ...
As angular distance is a symmetric relationship, each of the two catalogue stars votes for each of the image stars. ...
The algorithm is based on a geometric voting scheme in which a pair of stars in the catalogue votes for a pair of stars in the image if the angular distance between the stars of both pairs is similar. ...
doi:10.1109/taes.2008.4560198
fatcat:4bwgslnxqnh5jarn46wq6vpj3m
A Fast Vision-Based Localization Algorithm for Spacecraft in Deep Space
[chapter]
2016
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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In addition, a divisional method is proposed to improve star identification algorithm speed based on Hausdorff distance. ...
To solve this problem, two key work, including accuracy star extraction and fast star identification, should be done. ...
This research was supported in part by the NSF of China (Grant No.61272470, 61305087); the Fundamental Research Funds for the Central Universities, China University of Geosciences (Wuhan) (Grant No. ...
doi:10.1007/978-3-319-47081-8_3
fatcat:z6btwdt5bzapjohbfarchqyzie
Catalogue of wide binary, trinary and quaternary candidates from the Gaia data release 2 (region | b| >25)
[article]
2021
arXiv
pre-print
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The criteria for selecting candidates for multiple stars are based on two parameters: angular separation and collinearity of proper motion. ...
Specifically, data input is represented by a grid of circles (events) with radius 0.02 covering the sky in the field of galactic latitude | b| >25. ...
The data for analysis are represented by the grid of circles with patterns of stars covering a defined region of sky (Fig. 1 ). ...
arXiv:2104.04231v2
fatcat:obpok2thgbbxxkg33q5nafy4ea
Automated novelty detection in the WISE survey with one-class support vector machines
2017
Astronomy and Astrophysics
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To create a model of expected data we train the algorithm on a set of objects with spectroscopic identifications from the SDSS DR13 database, present also in AllWISE. ...
By combining the semi-supervised OCSVM algorithm with standard classification methods it will be possible to improve the latter by accounting for sources which are not present in the training sample but ...
Funding for SDSS-III has been provided by the Alfred P. Sloan (Taylor 2005) and STILTS (Taylor 2006) software. ...
doi:10.1051/0004-6361/201730968
fatcat:4wk5mcdrxfcn5pf4rzj3sxzuny
OUP accepted manuscript
2019
Monthly notices of the Royal Astronomical Society
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GUNDAM implements a very fast skip list/linked list algorithm that efficiently counts galaxy pairs and avoids the computation of unnecessary distances. ...
It is several orders of magnitude faster than a naive pair counter, and matches or even surpass other advanced algorithms. ...
AC K N OW L E D G E M E N T S We would like to thank the anonymous referee for useful suggestions and insight to improve this paper. ...
doi:10.1093/mnras/stz1469
fatcat:f4rvk36ybrclbgnvhmmmrfgwpq
Design of a Stellar Gyroscope for visual attitude propagation for small satellites
2012
2012 IEEE Aerospace Conference
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Recall that the hypothesis generation is based on pairing stars by brightness, where two stars are randomly selected in the first frame, and are paired with two stars in the second frame that are close ...
(shown in the figures as x and y distance components in units of pixels, for each star pair). ...
doi:10.1109/aero.2012.6187241
fatcat:sop34vglvjbtxbz7ucts5lpa5e
Star identification robust to angular rates and false objects with rolling shutter compensation
2019
Acta Astronautica
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The proposed methodology relies on a technique named Improved Multi-Poles Algorithm, especially designed for robustness to false objects and slew rates. ...
The reported results show that the proposed approach guarantees a reliable star identification and attitude determination with angular velocity from zero to five degrees per second. ...
Acknowledgments The authors would like to express their deepest appreciation to the anonymous reviser for the perceptive and valuable comments, and La Norcia Rebecca for the time that she dedicated to ...
doi:10.1016/j.actaastro.2019.09.040
fatcat:tjjke4uuxng7vkn2lrvkj7tcje
Hunting for open clusters in Gaia DR2: 582 new open clusters in the Galactic disc
2020
Astronomy and Astrophysics
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2020 pre-print arXiv:2001.07122v1 fatcat:neszkrmdpfferp2rtipdiykgje
After that, we use a deep learning artificial neural network trained on colour-magnitude diagrams to identify isochrone patterns in these overdensities, and to confirm them as open clusters. ...
We use a machine learning based methodology to systematically search in the Galactic disc, looking for overdensities in the astrometric space and identifying them as open clusters using photometric information ...
Antoja for her comments on the writing; ACG also thanks Dr. Jordi Vitrià and Dr. Santi Seguí for their useful comments on the ANN implementation and training. ...
doi:10.1051/0004-6361/201937386
fatcat:imqp544surfczdiyaobzo4t72i
Via Machinae: Searching for Stellar Streams using Unsupervised Machine Learning
[article]
2021
arXiv
pre-print
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We further apply an automated line-finding method based on the Hough transform to search for line-like features in patches of the sky. ...
In this paper, we describe the Via Machinae algorithm in detail and demonstrate our approach on the prominent stream GD-1. ...
Funding for the DPAC has been provided by national institutions, in particular the institutions participating in the Gaia Multilateral Agreement. ...
arXiv:2104.12789v2
fatcat:7akzosj2tndv7didld3d5gdjti
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