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15 October 2015 End-to-end performance analysis using engineering confidence models and a ground processor prototype
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The European Space Agency (ESA) and the Japan Aerospace Exploration Agency (JAXA) are co-operating to develop the EarthCARE satellite mission with the fundamental objective of improving the understanding of the processes involving clouds, aerosols and radiation in the Earth’s atmosphere.

The EarthCARE Multispectral Imager (MSI) is relatively compact for a space borne imager. As a consequence, the immediate point-spread function (PSF) of the instrument will be mainly determined by the diffraction caused by the relatively small optical aperture. In order to still achieve a high contrast image, de-convolution processing is applied to remove the impact of diffraction on the PSF. A Lucy-Richardson algorithm has been chosen for this purpose.

This paper will describe the system setup and the necessary data pre-processing and post-processing steps applied in order to compare the end-to-end image quality with the L1b performance required by the science community.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Klaus-Werner Kruse, Maximilian Sauer, Thomas Jäger, Alexandra Herzog, Michael Schmitt, Markus Huchler, Kotska Wallace, Michael Eisinger, Arnaud Heliere, Alain Lefebvre, Mat Maher, Mark Chang, Tracy Phillips, Steve Knight, Bryan T. G. de Goeij, Frits van der Knaap, and Adriaan Van't Hof "End-to-end performance analysis using engineering confidence models and a ground processor prototype", Proc. SPIE 9643, Image and Signal Processing for Remote Sensing XXI, 964305 (15 October 2015);

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