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首页> 外文期刊>Journal of Applied Remote Sensing >Stray-light correction and prediction for Suomi National Polar-orbiting Partnership visible infrared imaging radiometer suite day-night band
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Stray-light correction and prediction for Suomi National Polar-orbiting Partnership visible infrared imaging radiometer suite day-night band

机译:杂散光校正和苏米国家极性轨道伙伴关系可见红外成像辐射计套件昼夜乐队

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摘要

The Suomi National Polar-orbiting Partnership visible infrared imaging radiometer suite instrument has successfully operated since its launch in October 2011. Stray-light contamination is much larger than prelaunch expectations, and it causes a major decrease in quality of the day-night band night imagery when the spacecraft is crossing the Northern or Southern day-night terminators. The stray light can be operationally estimated using Earth-view data that are measured over dark surfaces during the new moon each month. More than 7 years of nighttime images have demonstrated that the stray-light contamination mainly depends on the Earth-Sun-spacecraft geometry, so its intensity is generally estimated as a function of the satellite zenith angle. In practice, stray-light contamination is also detector-and scan-angle-dependent. Previous methods of stray-light prediction generally rely on using the known stray light level from the same month in the previous year, when the Earth-Sun-spacecraft geometries had been similar. We propose a new method to predict stray-light contamination. The Kullback-Leibler similarity metric is used as a method to combine data from multiple years with appropriate adjustments for degradation and geometry drifts in order to calculate a fused stray-light contamination correction. The new method provides an improved prediction of stray-light contamination compared to the existing methods and may be considered for future use in the real-time NASA Level-1B products. (C) 2019 Society of Photo-Optical Instrumentation Engineers (SPIE)
机译:Suomi National orbiting合作可见的红外成像辐射计透射仪套件套件仪器自2011年10月推出以来已成功运营。杂散光污染远大于预期预期,并导致日夜乐队夜间图像的质量下降得多当航天器越过北方或南部的夜晚终结者时。杂散光可以使用在新月中每月在新月中测量的地球视图数据来操作地估计。超过7年的夜间图像已经证明,杂散光污染主要取决于地球 - 太阳航天器几何形状,因此其强度通常被估计为卫星天顶角的函数。在实践中,杂散光污染也是检测器和扫描角依赖性的。以前的杂散光预测方法通常依赖于在地球太空航天器几何形状类似的同月在上一年中的已知杂散光线水平。我们提出了一种预测杂散污染的新方法。 kullback-leibler相似度指标用作将数据组合到多年的数据,以进行劣化和几何漂移的适当调整,以便计算融合的杂散光污染校正。与现有方法相比,新方法提供了改进的杂散污染预测,并且可以考虑在实时NASA级别-1B产品中使用。 (c)2019年光学仪表工程师协会(SPIE)

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