Onboard TDI stage estimation and calibration using SNR analysis

Javad Haghshenas

doi:10.1117/12.2279933

29 September 2017 Onboard TDI stage estimation and calibration using SNR analysis

Javad Haghshenas

Proceedings Volume 10423, Sensors, Systems, and Next-Generation Satellites XXI; 104231U (2017) https://doi.org/10.1117/12.2279933
Event: SPIE Remote Sensing, 2017, Warsaw, Poland

Abstract

Electro-Optical design of a push-broom space camera for a Low Earth Orbit (LEO) remote sensing satellite is performed based on the noise analysis of TDI sensors for very high GSDs and low light level missions. It is well demonstrated that the CCD TDI mode of operation provides increased photosensitivity relative to a linear CCD array, without the sacrifice of spatial resolution. However, for satellite imaging, in order to utilize the advantages which the TDI mode of operation offers, attention should be given to the parameters which affect the image quality of TDI sensors such as jitters, vibrations, noises and etc. A predefined TDI stages may not properly satisfy image quality requirement of the satellite camera. Furthermore, in order to use the whole dynamic range of the sensor, imager must be capable to set the TDI stages in every shots based on the affecting parameters. This paper deals with the optimal estimation and setting the stages based on tradeoffs among MTF, noises and SNR. On-board SNR estimation is simulated using the atmosphere analysis based on the MODTRAN algorithm in PcModWin software. According to the noises models, we have proposed a formulation to estimate TDI stages in such a way to satisfy the system SNR requirement. On the other hand, MTF requirement must be satisfy in the same manner. A proper combination of both parameters will guaranty the full dynamic range usage along with the high SNR and image quality.

Conference Presentation

Citation Download Citation

Javad Haghshenas "Onboard TDI stage estimation and calibration using SNR analysis", Proc. SPIE 10423, Sensors, Systems, and Next-Generation Satellites XXI, 104231U (29 September 2017); https://doi.org/10.1117/12.2279933

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