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Study on the correction of sunlight pollution in mid-infrared image of FY-3C/VIRR

  • role： First author第一作者
  • Affiliation：

    School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo 454003, China

  • Email：zjibiao9701@foxmail.com
  • Introduction：朱吉彪，1995年生，男，硕士研究生，研究方向为遥感图像噪声去除。E-mail：zjibiao9701@foxmail.com
ZHU Jibiao1,  
  • Affiliation：

    National Satellite Meteorological Centre, Beijing 100081, China

HU Xiuqing2,  
  • role： Corresponding author通信作者
  • Affiliation：

    School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo 454003, China

  • Email：yanglk@hpu.edu.cn
  • Introduction：杨磊库,1980年生，男，副教授，研究方向为气溶胶卫星遥感。E-mail：yanglk@hpu.edu.cn
YANG Leiku1*,  
  • Affiliation：

    National Satellite Meteorological Centre, Beijing 100081, China

XU Hanlie2,  
  • Affiliation：

    National Satellite Meteorological Centre, Beijing 100081, China

XU Na2,  
  • Affiliation：

    National Satellite Meteorological Centre, Beijing 100081, China

ZHANG Peng2

Resümee

The Visible and Infra-Red Radiometer (VIRR) sensor on FY-3C was affected by the scanning mirror of the remote sensing instrument illuminated by the sunlight at high latitude, which results in the noise of the earth observation image, and the stripe noise of the channel-3 in VIRR, which seriously affected the data application. The causes of strip noise pollution include the influence of direct sunlight near the terminator, the effect of space clamp caused by stray light formed by reflection and scattering of sunlight and the influence of temperature fluctuation of scanning mirror caused by sunlight.According to the anisotropic characteristics of the stripe noise and the unidirectional variational model, We studied the removal of stripe noise in channel 3 of VIRR, and compared the results with the low-pass filtering method and TV-L1 method. The mean cross-track profiles before and after destriping, Peak Signal to Noise Ratio (PSNR), Improvement Factors (IF) of radiation quality and Inverse Coefficient of Variation (ICV) were used to evaluate the destriping results. In addition, in order to analyze the change of solar pollution over time, we made pollution line statistics, using the data of January, April, July and October 2014-2019.The results show that the variational model had a good effect on the stripe noise caused by solar pollution in the observation data of FY-3C VIRR channel 3. In the real experiment, PSNR was increased to 32.77 db; in the real data experiment, IF was increased to 16.99 db. The results of time series analysis of solar pollution show that solar pollution has significant seasonal variation and has significant correlation with satellite β angle.

Schlüsselwort

visible and infra-red radiometer(VIRR);solar pollution;variational model;destriping;FY-3C

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