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Proceedings Paper

MERTIS: configuration of measurement sequences for a maximized image SNR
Author(s): Thomas Säuberlich; Carsten Paproth
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Paper Abstract

MERTIS (MERcury Thermal infrared Imaging Spectrometer) is an advanced thermal infrared remote sensing instrument which is a part of the ESA mission BepiColombo to planet Mercury. Since the instrument is designed to work as in the thermal infrared range detecting radiation using an uncooled micro-bolometer matrix it is necessary to pay special attention to the development of proper scene signal extraction methods for the elimination of undesired signal portions from the measurement data - typically being achieved by subtraction of shutter images from scene images. It is shown here how the noise of the resulting difference images for different periodic measurement modes can be predicted and minimized using a theoretical model considering measurement sequences the MERTIS instrument can be driven with. The model introduced is reflecting the noise characteristics of the instrument's analog image data channel statistically so that the analog channel itself is not modeled explicitly. Nevertheless a precise noise strength prediction can be achieved. The prediction results depend both on the specific shutter open/close sequence used and a system specific spatial-temporal autocovariance function which can be easily estimated from simple image data cubes. The predictions become very precise if a proper preprocessing removing the most strong disturbing signal portions from the image datasets is done before. Being able to predict the noise strength for arbitrary measurement sequences and giving respect to the system´s physical constraints - e.g. maximum shutter speed - an optimal measurement sequence can be found giving a maximized SNR of the images of MERTIS.

Paper Details

Date Published: 16 September 2011
PDF: 12 pages
Proc. SPIE 8154, Infrared Remote Sensing and Instrumentation XIX, 815411 (16 September 2011); doi: 10.1117/12.893377
Show Author Affiliations
Thomas Säuberlich, Optical Information Systems (Germany)
Carsten Paproth, Optical Information Systems (Germany)

Published in SPIE Proceedings Vol. 8154:
Infrared Remote Sensing and Instrumentation XIX
Marija Strojnik; Gonzalo Paez, Editor(s)

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