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Star sensor image on-board Processing for orbiting Objects deTection -SPOT
2020This work presents the status of the study conducted by the School of Aerospace Engineering of Sapienza University of Rome in the framework of the Italian Space Agency project SPOT (Star sensor image on-board Processing for Orbiting objects deTection). The idea is to exploit star sensors to detect moving objects, which appear as streaks in the acquired
Fabio Curti +7 more
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2011 Fifth International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing, 2011
This paper presents FPGA based VGA display interface design for image display verification during test procedure in the star sensor debugging phase. Methods of asynchronous FIFO, methods for data update during line blanking interval and vertical blanking interval were adopted, and CCD camera's requirements for special sequential order were satisfied ...
Linyang Sheng +3 more
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This paper presents FPGA based VGA display interface design for image display verification during test procedure in the star sensor debugging phase. Methods of asynchronous FIFO, methods for data update during line blanking interval and vertical blanking interval were adopted, and CCD camera's requirements for special sequential order were satisfied ...
Linyang Sheng +3 more
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Image processing, simulation and performance predictions for the MicroMak star tracker
SPIE Proceedings, 2005The MicroMak device is a new, high-precision, very compact star sensor weighing less than 100 grams, with three independent 4-degree square fields of view. The collection telescope is a Maksutov design that incorporates three telescopes into a single sensor head.
Carl A. Nardell +2 more
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Determining star-image location: A new sub-pixel interpolation technique to process image centroids
Computer Physics Communications, 2007zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Brendan M. Quine +3 more
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Twelfth International Conference on Graphics and Image Processing (ICGIP 2020), 2021
A daytime star sensor is a high precision attitude measurement instrument with the ability of detecting stars in the atmosphere during daytime. Different from star sensor applied in space, the performance of daytime star sensor is greatly affected by the strong sky background radiation.
Qing Xu, Chunhui Zhao, Xiao Li
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A daytime star sensor is a high precision attitude measurement instrument with the ability of detecting stars in the atmosphere during daytime. Different from star sensor applied in space, the performance of daytime star sensor is greatly affected by the strong sky background radiation.
Qing Xu, Chunhui Zhao, Xiao Li
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2018 IEEE Applied Imagery Pattern Recognition Workshop (AIPR), 2018
A star detection algorithm determines the position and magnitude of stars on an observed space scene. In this study, a robust star detection algorithm is presented that filters the noise out in astronomical images and accurately estimates the centroid of stars in a way that preserving their native circular shapes.
KARAGÖZ, İRFAN +2 more
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A star detection algorithm determines the position and magnitude of stars on an observed space scene. In this study, a robust star detection algorithm is presented that filters the noise out in astronomical images and accurately estimates the centroid of stars in a way that preserving their native circular shapes.
KARAGÖZ, İRFAN +2 more
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Processing of Star Catalog and Star Image
2016Processing of star catalog and star image is the groundwork for star identification. The Star sensor process establishes the three-axis attitude of spacecraft by observing and identifying stars. Thus, star information is indispensable. The star information used by the star sensor process mainly includes the positions (right ascension and declination ...
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CONVOLUTIONAL NEURAL NETWORK APPROACH TO STAR SENSORS IMAGE PROCESSING ALGORITHMS
2021The present work will investigate an Artificial Intelligence (AI) approach in the framework of image segmentation and clustering algorithms for star sensors applications. It focuses on the architecture development and test of a Convolutional Neural Network (CNN) based algorithm and results comparison with the state of the art.
Marco Mastrofini +3 more
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2017
High-mass stars exhibit a significantly higher multiplicity frequency than low-mass stars, likely reflecting differences in how they formed. Theory suggests that high-mass binaries may form by the fragmentation of self-gravitational discs or by alternative scenarios such as disc-assisted capture.
Kraus, S. +11 more
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High-mass stars exhibit a significantly higher multiplicity frequency than low-mass stars, likely reflecting differences in how they formed. Theory suggests that high-mass binaries may form by the fragmentation of self-gravitational discs or by alternative scenarios such as disc-assisted capture.
Kraus, S. +11 more
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SPIE Proceedings, 2015
Direct detection and characterization of mature giant or sub-Neptunes exoplanets in the visible require space-based instruments optimized for high-contrast imaging with contrasts of 10-9. In this context, the Wide-Field Infrared Survey Telescope - Astrophysics Focused Telescope Assets (WFIRST-AFTA) will reach raw contrasts of about 8×10-9 to 10-9 using
Marie Ygouf +5 more
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Direct detection and characterization of mature giant or sub-Neptunes exoplanets in the visible require space-based instruments optimized for high-contrast imaging with contrasts of 10-9. In this context, the Wide-Field Infrared Survey Telescope - Astrophysics Focused Telescope Assets (WFIRST-AFTA) will reach raw contrasts of about 8×10-9 to 10-9 using
Marie Ygouf +5 more
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