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首页> 外文期刊>International journal of remote sensing >Atmospheric scattering and turbulence modulation transfer function for CCD cameras on CBERS-02b and HJ-1A/1B
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Atmospheric scattering and turbulence modulation transfer function for CCD cameras on CBERS-02b and HJ-1A/1B

机译：CBERS-02b和HJ-1A / 1B上CCD摄像机的大气散射和湍流调制传递函数

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摘要

Atmospheric turbulence and aerosol scattering can produce the blurring of the remotely sensed image. The degrading effect is usually quantified by atmospheric modulation transfer function (MTF). However, this effect behaves differently with different remote sensors. The effort of this article is to study the different degrading effects of aerosol MTF and turbulence MTF between charge-coupled device (CCD) camera on China-Brazil Earth Resources Satellite-02b (CBERS-02b) and on Huan Jing-1A/1B satellite (HJ-1A/1B). Specifically, a corrected aerosol MTF model is established based on classical solution of small-angle approximation (SAA) model by considering the MTF and the effective instantaneous field of view (EIFOV) of CCD cameras. By assuming many different atmospheric conditions, the aerosol MTF and turbulence MTF for two CCD cameras are evaluated. It is found that the output aerosol MTF of CCD camera on HJ-1A/1B causes more degrading effect than that of CBERS-02b under the same atmospheric condition. However, the situation reverses for the turbulence MTF. Furthermore, CCD images acquired over Beijing, China, by CBERS-02b and HJ-1A/1B on four different dates are selected. The overall atmospheric MTF for these images are determined based on the aerosol products from Aerosol Robotic Network (Aeronet) and radiosounding data. Results indicate that the overall atmospheric MTF of CBERS-02b CCD camera reduces image quality more seriously than that of HJ-1A/1B CCD camera. Additionally, the atmospheric MTF compensation is performed and evaluated for these CCD images based on the overall atmospheric MTF.
机译：大气湍流和气溶胶散射会导致遥感图像模糊。降解效果通常通过大气调制传递函数（MTF）进行量化。但是，这种效果在不同的遥感器上表现不同。本文的工作是研究电荷耦合器件（CCD）相机在中国巴西地球资源卫星02b（CBERS-02b）和环精1A / 1B卫星之间的气溶胶MTF和湍流MTF的不同降解作用（HJ-1A / 1B）。具体而言，在考虑小角度近似（SAA）模型的经典解的基础上，通过考虑CCD相机的MTF和有效瞬时视场（EIFOV），建立了修正的气溶胶MTF模型。通过假设许多不同的大气条件，评估了两个CCD相机的气溶胶MTF和湍流MTF。研究发现，在相同的大气条件下，HJ-1A / 1B CCD相机输出的气溶胶MTF比CBERS-02b产生的降解效果更大。但是，湍流MTF的情况则相反。此外，还选择了CBERS-02b和HJ-1A / 1B在四个不同日期在中国北京获得的CCD图像。这些图像的整体大气MTF是根据Aerosol Robotic Network（Aeronet）的气溶胶产品和无线电声音数据确定的。结果表明，与HJ-1A / 1B CCD摄像机相比，CBERS-02b CCD摄像机的整体大气MTF降低了图像质量。此外，将基于整体大气MTF对这些CCD图像执行大气MTF补偿并进行评估。

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  • 来源
    《International journal of remote sensing》 |2012年第8期|p.2130-2151|共22页
  • 作者

    XIAOYING LI; XINGFA GU; TAO YU; TIANHAI CHENG; JIAGUO LI; HAILIANG GAO; ZUO WANG;

  • 作者单位

    State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, Beijing 100101, PR China Demonstration Centre for Spaceborne Remote Sensing National Space Administration, Beijing 100101, PR China;

    State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, Beijing 100101, PR China Demonstration Centre for Spaceborne Remote Sensing National Space Administration, Beijing 100101, PR China;

    State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, Beijing 100101, PR China Demonstration Centre for Spaceborne Remote Sensing National Space Administration, Beijing 100101, PR China;

    State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, Beijing 100101, PR China Demonstration Centre for Spaceborne Remote Sensing National Space Administration, Beijing 100101, PR China;

    State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, Beijing 100101, PR China Demonstration Centre for Spaceborne Remote Sensing National Space Administration, Beijing 100101, PR China;

    State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, Beijing 100101, PR China Demonstration Centre for Spaceborne Remote Sensing National Space Administration, Beijing 100101, PR China;

    Demonstration Centre for Spaceborne Remote Sensing National Space Administration, Beijing 100101, PR China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
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