| INTERDISCIPLINARY PHYSICS AND RELATED AREAS OF SCIENCE AND TECHNOLOGY |
Prev
Next
|
|
|
Evaluation of influences of frequency and amplitude on image degradation caused by satellite vibrations |
| Nan Yi-Bing (南一冰)a b, Tang Yi (唐义)a b, Zhang Li-Jun (张丽君)a b, Zheng Cheng (郑成)a b, Wang Jing (王静)a b |
a Key Laboratory of Photoelectronic Imaging Technology and System of Ministry of Education of China, Beijing 100081, China;
b School of Optoelectronics, Beijing Institute of Technology, Beijing 100081, China |
|
|
|
|
Abstract Satellite vibrations during exposure will lead to pixel aliasing of remote sensors, resulting in the deterioration of image quality. In this paper, we expose the problem and discuss the characteristics of satellite vibrations, and then present a pixel mixing model. The idea of mean mixing ratio (MMR) is proposed. MMR computations for different frequencies are implemented. In the mixing model, a coefficient matrix is introduced to estimate each mixed pixel. Thus, the simulation of degraded image can be performed when the vibration attitudes are known. The computation of MMR takes into consideration the influences of various frequencies and amplitudes. Therefore, the roles of these parameters played in the degradation progress are identified. Computations show that under the same vibration amplitude, the influence of vibrations fluctuates with the variation of frequency. The fluctuation becomes smaller as the frequency rises. Two kinds of vibration imaging experiments are performed: different amplitudes with the same frequency and different frequencies with the same amplitude. Results are found to be in very good agreement with the theoretical results. MMR has a better description of image quality than modulation transfer function (MTF). The influence of vibrations is determined mainly by the amplitude rather than the frequency. The influence of vibrations on image quality becomes gradually stable with the increase of frequency.
|
Received: 29 October 2014
Revised: 03 February 2015
Accepted manuscript online:
|
|
PACS:
|
87.57.C-
|
(Image quality)
|
| |
42.79.Pw
|
(Imaging detectors and sensors)
|
| |
42.30.-d
|
(Imaging and optical processing)
|
| |
07.10.Fq
|
(Vibration isolation)
|
|
| Fund: Project of China (Grant No. J312012B002). |
Corresponding Authors:
Tang Yi
E-mail: tangyi4510@bit.edu.cn
|
| About author: 87.57.C-; 42.79.Pw; 42.30.-d; 07.10.Fq |
Cite this article:
Nan Yi-Bing (南一冰), Tang Yi (唐义), Zhang Li-Jun (张丽君), Zheng Cheng (郑成), Wang Jing (王静) Evaluation of influences of frequency and amplitude on image degradation caused by satellite vibrations 2015 Chin. Phys. B 24 058702
|
| [1] |
Hadar O, Dror I and Kopeika N S 1994 Opt. Eng. 33 566
|
| [2] |
Fan C, Long Y T and Guan A H 2009 International Conference on Environmental Science and Information Application Technology, Wuhan, China, July 4-5, 2009, p. 461
|
| [3] |
Xue B, Chen X M and Ni G Q 2009 International Conference on Optical Instrumentation and Technology, October 19-22, 2009, Shanghai, China, p. 75130N
|
| [4] |
Snoeren R M, Kroon J N and de With P H N 2011 4th International Congress on Image and Signal Processing, October 15-17, 2011, Shanghai, China, p. 1716
|
| [5] |
Li F 2012 Acta Phys. Sin. 61 230203 (in Chinese)
|
| [6] |
Xu P, Hao Q, Huang C, Huang C N and Wang Y T 2003 Optics & Laser Technology 35 547
|
| [7] |
Tang Q Y, Tang Y, Wang X Y and Ni G Q 2012 Infrared and Laser Engineering 41 803
|
| [8] |
Tang Q Y, Tang Y, Cao W L, Wang J, Nan Y B and Ni G Q 2012 Acta Phys. Sin. 61 070202 (in Chinese)
|
| [9] |
Lieber M D 2004 Proceedings of SPIE (Vol. 5420) Bellingham, WA, USA, 2004, p. 85
|
| [10] |
Hayden W L, McCullough T, Reth A and Kaufman D M 1993 Optics, Electro-Optics, & Laser Applications in Science & Engineering, January 18-22, 1993, Los Angeles, CA, USA, p. 271
|
| [11] |
Lee S, Alexander J W and Jeganathan M 2000 Symposium on High-Power Lasers and Applications San Jose, CA, USA, January 24, 2000 150
|
| [12] |
Nan Y B, Tang Y, Zhang L J, Chang Y E and Chen T A 2014 Acta Phys. Sin. 63 010701 (in Chinese)
|
| [13] |
Kramer H J 2002 Observation of the Earth and its Environment: Survey of Missions and Sensors (4th edn.) (Berlin: Springer)
|
| [14] |
Satellite Imaging Corporation http://www.satimagingcorp.com/contact [2014-10-28]
|
| [15] |
Kramer H https://directory.eoportal.org/web/eoportal/satellite-mis sions/l/landsat-8-ldcm [2014-10-28]
|
| [16] |
Kramer H https://directory.eoportal.org/web/eoportal/satellite-mis sions/g/geoeye-1 [2014-10-28]
|
| No Suggested Reading articles found! |
|
|
Viewed |
|
|
|
Full text
|
|
|
|
|
Abstract
|
|
|
|
|
Cited |
|
|
|
|
Altmetric
|
|
blogs
Facebook pages
Wikipedia page
Google+ users
|
Online attention
Altmetric calculates a score based on the online attention an article receives. Each coloured thread in the circle represents a different type of online attention. The number in the centre is the Altmetric score. Social media and mainstream news media are the main sources that calculate the score. Reference managers such as Mendeley are also tracked but do not contribute to the score. Older articles often score higher because they have had more time to get noticed. To account for this, Altmetric has included the context data for other articles of a similar age.
View more on Altmetrics
|
|
|
