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

Journal of Applied Sciences ›› 2017, Vol. 35 ›› Issue (1): 90-98.doi: 10.3969/j.issn.0255-8297.2017.01.010

• Signal and Information Processing • Previous Articles Next Articles

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

Abstract

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

CLC Number:

TP73

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

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

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