Infrared information acquisition technology of Chinese ocean color and temperature scanner of HY-1 satellite

  • role: First author第一作者
  • Affiliation:

    Key Laboratory of Infrared System Detection and Imaging Technology, Chinese Academy of Sciences, Shanghai 200083, China

    Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai 200083, China

    University of Chinese Academy of Sciences, Beijing 100049, China

  • Email:wlongvan@mail.sitp.ac.cn
  • Introduction:E-mailwlongvan@mail.sitp.ac.cn
FAN Wenlong,  
  • Affiliation:

    Key Laboratory of Infrared System Detection and Imaging Technology, Chinese Academy of Sciences, Shanghai 200083, China

    Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai 200083, China

    University of Chinese Academy of Sciences, Beijing 100049, China

HUANG Xiaoxian,  
  • role: Corresponding author通信作者
  • Affiliation:

    Key Laboratory of Infrared System Detection and Imaging Technology, Chinese Academy of Sciences, Shanghai 200083, China

    Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai 200083, China

    University of Chinese Academy of Sciences, Beijing 100049, China

  • Email:yutianfu@mail.sitp.ac.cn
  • Introduction:E-mailyutianfu@mail.sitp.ac.cn
FU Yutian*

resumen

Since 2000, China has launched four sun-synchronous ocean optical remote sensing satellites, namely, HY-1A, HY-1B, HY-1C, and HY-1D. The detection of Sea Surface Temperature (SST) distribution and variation is one of the main tasks of Chinese Ocean Color and Temperature Scanner (COCTS), which is the main load of HY-1 satellite. The dynamic range of the actual water temperature detection channel is required to cover the temperature range of 200 K to 320 K, considering the detection of sea ice, typhoon, and other meteorological elements over the ocean. The variation of temperature in some ocean areas leads to severe weather disasters. Thus, SST detection channels should satisfy the requirements of detection sensitivity and quantification accuracy.This study aims to design an information acquisition circuit of infrared channel for COCTS according to the technical requirements, including a pre-amplifier circuit to amplify the weak signal of the detector, AC amplifier, which eliminates the basic level to improve the dynamic range, and the channel amplifier circuit, which can realize the DC recovery and dynamic range adjustment of the signal.Based on the study of the working mechanism of the photoconductive infrared detector used, and combined with the system composition and the characteristics of COCTS, the form and parameters of each stage amplifier circuit were determined thru theoretical analysis, calculation, and simulation to ensure that the contradictory requirements of high dynamic range and high sensitivity are met at the same time. The corresponding high-pass and low-pass filter are designed to achieve stable reference level detection and single pixel signal detection of the whole field of view. The system performance of COCTS is measured in the vacuum environment simulation laboratory to verify the reasonability of information acquisition circuit design.Results of the infrared radiometric calibration in the laboratory show that the dynamic range of the two infrared channels covers 177 to 327 K and 173 to 324 K; they satisfy the technical requirements of 200 to 320 K. The Noise Equivalent Temperature Difference (NETD) of the two infrared channels in the whole dynamic range is between 20 and 110 mK. At the appraisal position of 300 K, NETD has reached 21 to 34 mK, which is much better than the technical requirements of 0.2 mK. The space test environment is more complex than the laboratory, and the measuring accuracy has some differences. The results of in orbit test show that the dynamic range of the two infrared channels is 186 to 328 K and 185 to 326 K, and the NETD in the whole dynamic range is between 50 mK and 110 mK, according to the window size of the selected target area. The performance is better than the technical requirements.Conclusion The infrared channel can track the change in the blackbody signal on the satellite with modifications in time and the surrounding environment. Thus, the calibration coefficient of the infrared channel can be corrected in real-time. The expected goal of real-time radiometric calibration in orbit can be achieved. This lays a foundation for the quantitative inversion of SST and can obtain and develop high-quality global SST products.

palabra clave

HY-1;information acquisition;sea surface temperature (SST);infrared photoconductive detector;DC recovery;noise equivalent temperature difference;modulation transfer function (MTF)

References

  1. 1.
    Feng Q, Zhang S M, Zheng L H and Wang W Y. 2003. Design and on-orbit performance evaluation of water color scanner for China ocean-1 satellite. Spacecraft Engineering, 12(3): 47-55
  2. 2.
    Hua C Y and Tong S B. 2006. Fundamentals of Analog Electronics. 4th ed. Beijing: Higher Education Press: 366-367
  3. 3.
    Jiang X W, Lin M S and Zhang Y G. 2016. Progress and prospect of Chinese ocean satellites. Journal of Remote Sensing, 20(5): 1185-1198
  4. 4.
    Jiang X W, Lin M S, Zhang Y G and Ma Y. 2018. Ocean remote sensing satellite and the history of application development and prospect. Satellite Application, (5): 10-18
  5. 5.
    Liu C, Bai Q, Tang G, Shao H and Bai Y. 2018. Development of marine remote sensing technology in China. Naval Architecture and Ocean Engineering, 34(1): 1-6
  6. 6.
    Liu S M and Ma H Z. 2007. Image aberrance of 45° multi-parallel scanning mirror and software correction. Infrared and Laser Engineering, 36(4): 526-529
  7. 7.
    Ma X R, Zhang Y W and Bai Z G. 2003. Technical solution of China ocean-1 satellite. Spacecraft Engineering, 12(3): 1-8
  8. 8.
    Weng C M, Wu Z Y, Xia J and Huang P M. 2003. Design of data transmission subsystem and analysis of flight test parameters for China Ocean-1 satellite. Spacecraft Engineering, 12(3): 64-70
  9. 9.
    Xu N R and Bian N H. 1997. Infrared Radiation and Guidance. Beijing: National Defense Industry Press: 392-397
  10. 10.
    Zhang E. 2004. Design of optical system in 10-band radiometer for Chinese ocean color satellite. Optics and Optoelectronic Technology, 2(4): 21-22
  11. 11.
    Zheng L H, Yin D Y and Feng X. 2007. Application for offsetting image rotation "K Mirror" in COCTS. Infrared Technology, 29(1): 17-21
  12. 12.
    Zhou S C. 2014. Introduction to Advanced Infrared Optoelectronic Engineering. Beijing: Science Press: 185-186

Leer el texto completo

The above content is generated by Large Model Translation. The translated content is for reference only. We do not assume any commercial or legal responsibilty for any consequences arising from the use of our website