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Global satellite composites - 20 years of evolution

机译:全球卫星复合材料-20年的发展历程

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摘要

For two decades, the University of Wisconsin Space Science and Engineering Center (SSEC) and the Antarctic Meteorological Research Center (AMRC) have been creating global, regional and hemispheric satellite composites. These composites have proven useful in research, operational forecasting, commercial applications and educational outreach. Using the Man computer Interactive Data System (MclDAS) software developed at SSEC, infrared window composites were created by combining Geostationary Operational Environmental Satellite (GOES), and polar orbiting data from the SSEC Data Center and polar data acquired at McMurdo and Palmer stations, Antarctica. Increased computer processing speed has allowed for more advanced algorithms to address the decision making process for co-located pixels. The algorithms have evolved from a simplistic maximum brightness temperature to those that account for distance from the sub-satellite point, parallax displacement pixel time and resolution. The composites are the state-of-the-art means for merging/mosaicking satellite imagery.
机译:二十年来,威斯康星大学空间科学与工程中心(SSEC)和南极气象研究中心(AMRC)一直在创建全球,区域和半球卫星复合材料。事实证明,这些复合材料可用于研究,运营预测,商业应用和教育推广。使用由SSEC开发的人机交互数据系统(MclDAS)软件,通过结合对地静止作战环境卫星(GOES)和来自SSEC数据中心的极地轨道数据以及在南极的McMurdo和Palmer站获取的极地数据,创建了红外窗复合材料。计算机处理速度的提高已允许使用更高级的算法来解决共置像素的决策过程。该算法已从简单的最大亮度温度演变为考虑到距亚卫星点的距离,视差位移像素时间和分辨率的算法。合成图像是用于合并/拼接卫星图像的最新技术。

著录项

  • 来源
    《Atmospheric research》 |2014年第1期|8-34|共27页
  • 作者单位

    Space Science and Engineering Center, University of Wisconsin-Madison, 1225 West Dayton Street, Madison, WI 53706, USA;

    Antarctic Meteorological Research Center, Space Science and Engineering Center, University of Wisconsin-Madison, 1225 West Dayton Street, Madison, WI 53706, USA;

    Space Science and Engineering Center, University of Wisconsin-Madison, 1225 West Dayton Street, Madison, WI 53706, USA;

    Cooperative Institute for Meteorological Satellite Studies, Space Science and Engineering Center, University of Wisconsin-Madison, 1225 West Dayton Street, Madison, WI 53706, USA;

    Cooperative Institute for Research in Environmental Sciences, University of Colorado at Boulder, 216 UCB, Boulder, CO 80309, USA;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Satellites; Composite imagery; Algorithm; Parallax;

    机译:卫星;复合图像;算法;视差;

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