Removal of instrument artefacts by harmonisation of hyperspectral sensor data from multiple detectors

Tim Hultberg; Thomas August

doi:10.1117/12.2278587

29 September 2017 Removal of instrument artefacts by harmonisation of hyperspectral sensor data from multiple detectors

Tim Hultberg, Thomas August

Proceedings Volume 10423, Sensors, Systems, and Next-Generation Satellites XXI; 1042324 (2017) https://doi.org/10.1117/12.2278587
Event: SPIE Remote Sensing, 2017, Warsaw, Poland

Abstract

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 atmo- spheric 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.

Citation Download Citation

Tim Hultberg and Thomas August "Removal of instrument artefacts by harmonisation of hyperspectral sensor data from multiple detectors", Proc. SPIE 10423, Sensors, Systems, and Next-Generation Satellites XXI, 1042324 (29 September 2017); https://doi.org/10.1117/12.2278587

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