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Comparison of Dim Star Detection Algorithms for Star Trackers

2023
<p>In the following study, the dim star detection performance of a baseline detection algorithm with no image processing was compared to a one-dimensional dilation-based top hat algorithm and a two-dimensional white top hat algorithm which utilized two different structuring elements.
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Enhancement of the centroiding algorithm for star tracker measure refinement

Acta Astronautica, 2003
Abstract The application of the hyperacuity technique to image processing of star trackers is analysed. An analytical study of the error introduced by the centroiding algorithm is presented and it is shown that a systematic contribution and a random one exist.
RUFINO, GIANCARLO, ACCARDO, DOMENICO
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Subpixel centroiding algorithm for EMCCD star tracker

SPIE Proceedings, 2008
Star tracker is the most precision attitude measurement instrument of spacecrafts, which plays a very important role in attitude measurement and control system. The technology of star tracker based on CCD is very popular. Unfortunately, with a CCD system, a single integration period for the entire sensor is necessitated.
Yufeng Li, Dongmei Li, Yanbo Liang
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Modified grid algorithm for star pattern identification by using star trackers

International Conference on Recent Advances in Space Technologies, 2003. RAST '03. Proceedings of, 2003
In this paper a star pattern identification algorithm is addressed. Proposed algorithm is associated in terms of pattern recognition. Each star has related with well-defined pattern that can be determined by the surrounding stars. One of the well-known types related the class is the grid algorithm. The proposed algorithm is based on the algorithm.
null Hyunjae Lee   +2 more
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Novel star identification algorithm utilizing images of two star trackers

2010 IEEE Aerospace Conference, 2010
This paper investigates a star identification algorithm to improve the performance of especially a micro star tracker whose Field-of-view (FOV) is small. This algorithm is characterized by combining the images from two star trackers to identify the stars, rather than identifying the stars in each image separately.
Koki Ho, Shinichi Nakasuka
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New Star Identification Algorithm for Multiple Star Trackers with Unequal Qualities

IFAC Proceedings Volumes, 2010
Abstract This paper discusses a new star identification algorithm for multiple star trackers with unequal qualities. This algorithm is inspired by the star identification algorithm for small-FOV (Field-of-View) star trackers, which allows the star identification across the images as well as that within the image.
Koki Ho, Shinichi Nakasuka
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A survey of algorithms for star identification with low-cost star trackers

Acta Astronautica, 2012
Abstract This paper aims to present a set of lost-in-space star identification algorithms that works effectively for small satellites. Several algorithms are investigated for both phases of star identification: feature extraction and catalogue search.
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MSTI3 star tracker attitude determination and estimation algorithm

Guidance, Navigation, and Control Conference, 1996
The third Miniature Sensor Technology Integration (MSTI) spacecraft was successfully launched from Vandenberg AFB on 17 May 96. Its mission is infrared Earth mapping and missile tracking. A second objective is to demonstrate that this type of mission can be successfully performed on a reduced schedule and budget.
John Farazian, Rob McEwen, Rick Todd
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Self-organizing guide star selection algorithm for star trackers: Thinning method

Proceedings, IEEE Aerospace Conference, 2003
In this study, a new self-organizing guide star selection algorithm is presented, which is a crucial part of an advanced star tracker design since the performance and reliability of star pattern recognition and attitude determination depend on the guide star selection. The problem is to minimize the total number of guide stars while ensuring at least n
null Hye-Young Kim, J.L. Junkins
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Flower algorithm for star pattern recognition in space surveillance with star trackers

Optical Engineering, 2009
Using star tracker to perform space surveillance is a focal point of research in aerospace engineering. However, autonomous attitude determination with star trackers in missions is a challenging task, because of spacecraft attitude dynamics and false stars. We present a novel star pattern recognition algorithm to resolve these problems.
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