微小卫星低照度遥感成像的信噪比

doi:10.3969/j.issn.0255-8297.2017.01.010

应用科学学报 ›› 2017, Vol. 35 ›› Issue (1): 90-98.doi: 10.3969/j.issn.0255-8297.2017.01.010

微小卫星低照度遥感成像的信噪比

张洋^1,2, 钟兴^1,3

1. 中国科学院长春光学精密机械与物理研究所, 长春 130033;
2. 中国科学院大学, 北京 100039;
3. 长光卫星技术有限公司, 长春 130102

收稿日期:2016-04-29 修回日期:2016-08-11 出版日期:2017-01-30 发布日期:2017-01-30
作者简介:钟兴,研究员,博导,研究方向:星载一体化,E-mail:ciomper@163.com

Signal-to-Noise Ratio in Low Light Images from Microsatellite

ZHANG Yang^1,2, ZHONG Xing^1,3

1. Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Science, Changchun 130033, China;
2. University of Chinese Academy of Sciences, Beijing 100039, China;
3. Chang Guang Satellite Technology Co., Ltd., Changchun 130102, China

Received:2016-04-29 Revised:2016-08-11 Online:2017-01-30 Published:2017-01-30

摘要/Abstract

摘要：

为了实现低照度环境下遥感图像的正常采集，对遥感平台与遥感传感器进行了研究.分析对比了微小卫星平台现有遥感图像成像模式，利用敏捷性微小卫星平台，提出了在凝视模式下增加积分时间获取星载卫星低照度图像的方法，并对凝视情况下遥感图像信噪比进行建模和分析，给出了遥感图像信噪比与光学系统相对孔径、积分时间之间的函数关系.搭建了实验平台，可实现在低照度环境下进行不同积分时间的实际靶标图像采集及信噪比分析.

关键词: 低照度成像, 积分时间, 卫星姿态, 遥感成像, 凝视模式, 信噪比

Abstract:

To acquire low-light remote sensing images, remote sensing platform and sensors are studied.By increasing integration time, low-light remote images are combined.In contrast to the current imaging models we have on satellite, a staring imaging model can achieve longer integer time.The new microsatellite platform can collect low-light remote image in this model.A mathematical model for signal-to-noise ratio is established to obtain functional relationship among relative optical aperture, integration time and signal-to-noise ratio.An experimental platform is setup to collect target images acquired in a low light environment with different integration time for analysis of signal-to-noise ratio.

Key words: low-light image, satellite posture, signal-to-noise ratio, remote sensing image, integration time, staring imaging model

中图分类号:

TP73

张洋, 钟兴. 微小卫星低照度遥感成像的信噪比[J]. 应用科学学报, 2017, 35(1): 90-98.

ZHANG Yang, ZHONG Xing. Signal-to-Noise Ratio in Low Light Images from Microsatellite[J]. Journal of Applied Sciences, 2017, 35(1): 90-98.

参考文献

[1] 梅安新,彭旺,秦其明. 遥感导论[M]. 北京:高等教育出版社,2001.
[2] 张敬贤. 微光与红外成像技术[M]. 北京:北京理工大学出版社,1995.
[3] 葛玉君,赵键,杨芳. 高分辨率光学遥感卫星平台技术综述[J]. 国际太空,2013, 5:2-8. Ge Y J, Zhao J, Yang F. Summary of high resolution optical remote sensing satellite platform technology[J]. Space International, 2013, 5:2-8. (in Chinese)
[4] 黄群东,杨芳,赵键. 姿态对地指向不断变化成像时的像移速度计算[J]. 光学精密工程,2012, 20(12):2812-2820. Huang Q D, Yang F, Zhao J. Calculation of image motion velocity for agile satellite dynamic imaging to changed continuously attitude point[J]. Optics and Precision Engineering, 2012, 20(12):2812-2820. (in Chinese)
[5] 薛旭成,傅瑶,韩诚山. TDI CCD相机的卫星姿态稳定度确定[J]. 中国光学,2013, 6(5):767-772. Xue X C, Fu Y, Han C S. Confrmation of satellite attitude stabilization for TDI CCD camera[J]. Chinese Optics, 2013, 6(5):767-772. (in Chinese)
[6] 龙夫年,张旺,刘剑峰. 卫星姿态精度对TDI CCD相机的影响[J]. 哈尔滨工业大学学报,2002, 34(3):382-384. Long F N, Zhang W, Liu J F. Effect of satellite attitude control accuracy on TDI CCD cameras[J]. Journal of Harbin Institute of Technology, 2002, 34(3):382-384. (in Chinese)
[7] 崔敦杰. 地球静止轨道上的凝视型光学遥感器概念设计[J]. 遥感技术与应用,1998, (4):21-26. Cui D J. A staring image for geostationary orbit meteor-logical satellite[J]. Remote Sensing Technology and Application, 1998(4):21-26. (in Chinese)
[8] 刘兆军,陈伟. 面阵凝视型成像空间应用技术[J]. 红外与激光工程,2006, 35(5):541-545. Liu Z J, Chen W. Space applications of staring imaging technology with area FPGA[J]. Infrared and Laser Engineering, 2006, 35(5):541-545. (in Chinese)
[9] [Online]Avaliable:http://www.charmingglobe.com
[10] 付强,相里斌,景娟娟. 基于多光谱遥感成像链模型的系统信噪比分析[J]. 光学学报,2012, 32(2):1-7. Fu Q, Xiang L B, Jing J J. System signal-to-noise ratio analysis based on imaging chain model in multispectral remote sensing[J]. Acta Optica Sinica, 2012, 32(2):1-7. (in Chinese)
[11] 李宪圣, 任建岳, 任建伟. 空间相机在轨成像模式的建立[J]. 光学精密工程, 2015, 23(7):1852-1858. Li X S, Ren J Y, Ren J W. Establishment of image model for on-board space camera[J]. Optics and Precision Engineering, 2015, 23(7):1852-1858. (in Chinese)
[12] 朱博,王新鸿,唐伶俐. 光学遥感图像信噪比评估方法与发展[J]. 遥感技术与应用,2010, 25(2):303-308. Zhu B, Wang X H, Tang L L. Review on methods for SNR estimation of optical remote sensing imagery[J]. Remote Sensing Technology and Application, 2010, 25(2):303-308. (in Chinese)

微小卫星低照度遥感成像的信噪比

Signal-to-Noise Ratio in Low Light Images from Microsatellite

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