Restoration Method of a Blurred Star Image for a Star Sensor Under Dynamic Conditions

Autor: He Jiawei, Jun Wang, Lei Zhang, He Dinglong, Mu Zhiya, Zhonghui Wei, You Lv, Xin He
Jazyk: angličtina
Rok vydání: 2019
Předmět:
Computer science
A* search algorithm
02 engineering and technology
Astrophysics::Cosmology and Extragalactic Astrophysics
Star (graph theory)
Curvature
lcsh:Chemical technology
01 natural sciences
Biochemistry
image restoration
Article
Analytical Chemistry
law.invention
010309 optics
law
0103 physical sciences
0202 electrical engineering
electronic engineering
information engineering
Astrophysics::Solar and Stellar Astrophysics
Computer vision
lcsh:TP1-1185
Electrical and Electronic Engineering
Instrumentation
Image restoration
Astrophysics::Galaxy Astrophysics
Pixel
business.industry
Motion blur
Centroid
Filter (signal processing)
star sensor
Atomic and Molecular Physics
and Optics
motion blur
curvature filter
Computer Science::Computer Vision and Pattern Recognition
020201 artificial intelligence & image processing
Noise (video)
Artificial intelligence
Astrophysics::Earth and Planetary Astrophysics
business
Energy (signal processing)
Zdroj: Sensors
Volume 19
Issue 19
Sensors (Basel, Switzerland)
Sensors, Vol 19, Iss 19, p 4127 (2019)
ISSN: 1424-8220
DOI: 10.3390/s19194127
Popis: Under the dynamic working conditions of a star sensor, motion blur of the star will appear due to its energy dispersion during imaging, leading to the degradation of the star centroid accuracy and attitude accuracy of the star sensor. To address this, a restoration method of a blurred star image for a star sensor under dynamic conditions is presented in this paper. First, a kinematic model of the star centroid and the degradation function of blurred star image under different conditions are analyzed. Then, an improved curvature filtering method based on energy function is proposed to remove the noise and improve the signal-to-noise ratio of the star image. Finally, the Richardson Lucy algorithm is used and the termination condition of the iterative equation is established by using the star centroid coordinates in three consecutive frames of restored images to ensure the restoration effect of the blurred star image and the accuracy of the star centroid coordinates. Under the dynamic condition of 0~4°
/s, the proposed algorithm can effectively improve the signal-to-noise ratio of a blurred star image and maintain an error of the star centroid coordinates that is less than 0.1 pixels, which meets the requirement for high centroid accuracy.
Databáze: OpenAIRE
Externí odkaz:
Nepřihlášeným uživatelům se plný text nezobrazuje