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首页> 外文会议>Sensors, systems, and next-generation satellites XXI >Removal of instrument artefacts by harmonisation of hyperspectral sensor data from multiple detectors
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Removal of instrument artefacts by harmonisation of hyperspectral sensor data from multiple detectors

机译：通过协调来自多个检测器的高光谱传感器数据消除仪器伪像

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IASI has 4 different detectors, CrIS has 9, IASI-NG will have 16 and MTG-IRS 25600. There is a clear interest to harmonise the sensor data originating from different detectors, if it can be done be removing the parts of the instrument artefacts, which are not common to all detectors. When IASI spectra are analysed in principal component (PC) score space, differences between the four detectors are clearly observed. These differences are caused by different characteristics and different strengths of the ghost effect among the detectors and although they are small when analysed in radiance space, they can have a distinct negative impact on the use of the data. Considering that a large part of the operationally disseminated IASI PC scores are dominated by instrument artefacts, the partial removal of instrument artefacts is also of interest for data compression purposes. The instrument artefacts can be partly removed by projection onto a subspace common to all detectors. We show how the techniques of canonical angles can be used to compute a set of orthogonal vectors capturing only directions which are close to directions found in the signal spaces of all detectors. This principle can also be applied to detectors on-board different satellites, as we demonstrate with the example of IASI-A and IASI-B. The danger of the method is that a single deficient detector, 'blind' to one or more directions of the atmospheric signal, could potentially 'contaminate' the data from the other detectors. We discuss how to detect and avoid this problem and check it in practice with CrIS data.
机译：IASI有4个不同的探测器，CrIS有9个，IASI-NG将有16个，MTG-IRS25600。如果可以通过去除仪器工件的零件来做到这一点，人们很感兴趣的是协调来自不同探测器的传感器数据。 ，并非所有探测器都通用。在主成分（PC）分数空间中分析IASI光谱时，可以清楚地观察到四个检测器之间的差异。这些差异是由检测器之间不同的特性和不同的重影效应强度引起的，尽管在辐射空间中进行分析时它们很小，但是它们可能对数据的使用产生明显的负面影响。考虑到在操作上传播的IASI PC分数中很大一部分是由仪器伪像控制的，出于数据压缩的目的，部分移除仪器伪像也是很重要的。可以通过投影到所有检测器共有的子空间中来部分除去仪器伪像。我们展示了如何使用规范角度的技术来计算一组正交矢量，这些矢量仅捕获与所有检测器的信号空间中的方向接近的方向。正如我们以IASI-A和IASI-B的示例所演示的那样，该原理也可以应用于不同卫星上的探测器。该方法的危险在于，单个“缺陷”检测器“干扰”了大气信号的一个或多个方向，可能会潜在地“污染”其他检测器的数据。我们讨论如何检测和避免此问题，并在实际中使用CrIS数据进行检查。

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