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End-to-end performance analysis using engineering confidence models and a ground processor prototype

Author: Kruse, K.W. · Sauer, M. · Jäger, T. · Herzog, A. · Schmitt, M. · Huchler, M. · Wallace, K. · Eisinger, M. · Heliere, A. · Lefebvre, A. · Maher, M. · Chang, M. · Phillips, T. · Knight, S. · Goeij, B.T.G. de · Knaap, F.G.P. van der · Hof, C.A. van 't
Type:article
Date:2015
Publisher: SPIE
Place: Bellingham, WA, USA
Source:Bruzzone, L., Image and Signal Processing for Remote Sensing XXI, 21-23 September 2015, 9643
Identifier: 534545
ISBN: 9781628418538
Article number: 964305
Keywords: Electronics · Industrial Innovation · Nano Technology · SSE - Space Systems Engineering · TS - Technical Sciences

Abstract

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.