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

Jibiao ZHU; Xiuqing HU; Leiku YANG; Hanlie XU; Na XU; Peng ZHANG

doi:10.11834/jrs.20209474

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Study on the correction of sunlight pollution in mid-infrared image of FY-3C/VIRR
Vol. 25, Issue 3, Pages: 803-816(2021)
Received：24 December 2019，

Published：07 March 2021
DOI： 10.11834/jrs.20209474
稿件说明：

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朱吉彪，胡秀清，杨磊库，徐寒列，徐娜，张鹏.2021.FY-3C/VIRR中红外图像太阳光污染订正.遥感学报，25（3）： 803-815 DOI： 10.11834/jrs.20209474.

Zhu J B，Hu X Q，Yang L K，Xu H L，Xu N and Zhang P. 2021. Study on the correction of sunlight pollution in mid-infrared image of FY-3C/VIRR. National Remote Sensing Bulletin， 25（3）：803-815 DOI： 10.11834/jrs.20209474.

摘要

风云三号C星（FY-3C）上搭载的可见光红外扫描辐射计VIRR （Visible and Infra-Red Radiometer）是继承风云一号卫星光学成像仪器，它在高纬度昼夜交替区域附近由于地平线附近太阳光照射，导致仪器扫描镜和其他部件产生杂散光，导致对地观测图像被污染，尤其VIRR中红外第3通道（3.7 μm）图像产生了严重条带噪声，影响了后续产品的质量精度和数据应用。本文根据图像条带噪声各向异性的特点，利用单向变分条带去除模型，对VIRR第3通道图像进行条带噪声去除研究，采用噪声去除前后图像行均值曲线与定量评价指标辐射质量改进因子IF （Improvement Factors of Radiometric Quality）和逆变异系数ICV （Inverse Coefficient of Variation）等进行去除结果评价。结果表明，单向变分模型对FY-3C VIRR第3通道观测数据太阳污染条带噪声具有较好的订正效果，实验中，PSNR提升到32.77 dB；在真实数据实验中，IF提升到16.99 dB。

Abstract

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

angle.

关键词

Keywords

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