The Meteosat Third Generation (MTG) Programme is the next generation of European geostationary meteorological
systems. The first MTG satellite, which is scheduled for launch at the end of 2018/early 2019, will host two imaging
instruments: the Flexible Combined Imager (FCI) and the Lightning Imager. The FCI will continue the operation of the
SEVIRI imager on the current Meteosat Second Generation satellites (MSG), but with an improved spatial, temporal and
spectral resolution, not dissimilar to GOES-R (of NASA/NOAA).
The transition from spinner to 3-axis stabilised platform, a 2-axis tapered scan pattern with overlaps between adjacent
scan swaths, and the more stringent geometric, radiometric and timeliness requirements, make the rectification process
for MTG FCI more challenging than for MSG SEVIRI. The effect of non-uniform sampling in the image rectification
process was analysed in an earlier paper. The use of classical interpolation methods, such as truncated Shannon
interpolation or cubic convolution interpolation, was shown to cause significant errors when applied to non-uniform
samples. Moreover, cubic splines and Lagrange interpolation were selected as candidate resampling algorithms for the
FCI rectification that can cope with irregularities in the sampling acquisition process.
This paper extends the study for the two-dimensional case focusing on practical 2D interpolation methods and its
feasibility for an operational implementation. Candidate kernels are described and assessed with respect to MTG
requirements. The operational constraints of the Level 1 processor have been considered to develop an early image
rectification prototype, including the impact of the potential curvature of the FCI scan swaths. The implementation
follows a swath-based approach, uses parallel processing to speed up computation time and allows the selection of a
number of resampling functions. Due to the tight time constraints of the FCI level 1 processing chain, focus is both on
accuracy and performance. The presentation will show the results of our prototype with simulated FCI L1b data.
The Meteosat Third Generation (MTG) Programme is the next generation of European geostationary meteorological systems. The first MTG satellite, MTG-I1, which is scheduled for launch at the end of 2018, will host two imaging instruments: the Flexible Combined Imager (FCI) and the Lightning Imager. The FCI will provide continuation of the SEVIRI imager operations on the current Meteosat Second Generation satellites (MSG), but with an improved spatial, temporal and spectral resolution, not dissimilar to GOES-R (of NASA/NOAA). Unlike SEVIRI on the spinning MSG spacecraft, the FCI will be mounted on a 3-axis stabilised platform and a 2-axis tapered scan will provide a full coverage of the Earth in 10 minute repeat cycles. Alternatively, a rapid scanning mode can cover smaller areas, but with a better temporal resolution of up to 2.5 minutes. In order to assess some of the data acquisition and processing aspects which will apply to the FCI, a simplified end-to-end imaging chain prototype was set up. The simulation prototype consists of four different functional blocks: - A function for the generation of FCI-like references images - An image acquisition simulation function for the FCI Line-of-Sight calculation and swath generation - A processing function that reverses the swath generation process by rectifying the swath data - An evaluation function for assessing the quality of the processed data with respect to the reference images This paper presents an overview of the FCI instrument chain prototype, covering instrument characteristics, reference image generation, image acquisition simulation, and processing aspects. In particular, it provides in detail the description of the generation of references images, highlighting innovative features, but also limitations. This is followed by a description of the image acquisition simulation process, and the rectification and evaluation function. The latter two are described in more detail in a separate paper. Finally, results from the prototype imaging chain are shown, including generated datasets, evaluation of results and conclusions derived from the first tests. An outline of planned extensions to the prototype and its role in the MTG Ground Segment development conclude the presentation.
The METEOSAT Third Generation (MTG) Programme will provide the geostationary platforms for operational
meteorological data acquisitions over Europe in 2018-2030. The Flexible Combined Imager (FCI) instrument is one of
the MTG imager instruments and has a heritage from SEVIRI flown on the current METEOSAT Second Generation
(MSG) satellites. It is a radiometer providing measurements in 16 spectral bands with a full Earth coverage every 10
minutes. For the Level 2 processing of FCI datasets the measurements have to be re-sampled on a constant reference grid
in a geostationary projection – this process is referred to as rectification.
The use of a three-axis stabilised platform and the scanning scheme applied to the FCI make rectification in MTG more
challenging than in the MSG/SEVIRI case. Classical interpolation formulas assume a uniform sampling spacing of the
measurements. However, non-uniform sampling may occur in the FCI sampling acquisition due to platform dynamics,
micro-vibrations, thermo-elastic focal plane and optical distortions. In such a case, classical methods can cause
significant rectification errors and interpolation algorithms, which can cope with non-uniform sampling, are required.
This paper analyses the effect of non-uniform sampling in the FCI rectification process and aims to select and assess
suitable resampling algorithms for the FCI L1 processing chain. Several techniques tailored to non-uniform resampling
have been implemented. Performances of both uniform and non-uniform interpolation algorithms have been evaluated
and compared using simulated FCI-like data samples. The analysis has been done for a nominal and a worst-case sample
acquisition scenario. The presentation will show the results of our simulations with respect to the MTG requirements.
Optoacoustic Imaging (OAI), a novel hybrid imaging technology, offers high contrast, molecular specificity and
excellent resolution to overcome limitations of the current clinical modalities for detection of solid tumors. The exact
time-domain reconstruction formula produces images with excellent resolution but poor contrast. Some approximate
time-domain filtered back-projection reconstruction algorithms have also been reported to solve this problem. A wavelet
transform implementation filtering can be used to sharpen object boundaries while simultaneously preserving high
contrast of the reconstructed objects. In this paper, several algorithms, based on Back Projection (BP) techniques, have
been suggested to process OA images in conjunction with signal filtering for ultrasonic point detectors and integral
detectors. We apply these techniques first directly to a numerical generated sample image and then to the laserdigitalized
image of a tissue phantom, obtaining in both cases the best results in resolution and contrast for a waveletbased filter.
Various types of cancer remain the second leading cause of death in the world. As a consequence, the detection of these
tumors has a vital importance. Optoacoustic imaging (OA), a novel imaging technique, offers high contrast and
resolution to detect them by measuring the pressure waves generated by tissues exposed to optical energy. Several
algorithms, based on Back Projection (BP) techniques, have been suggested to process OA images in conjunction with
signal filtering. In this paper, we compare several BP techniques in combination with different classes of filtering. We
apply these techniques first directly to a numerical generated sample image and then to the laser-digitalized image of a
tissue phantom, obtaining in both cases the best results in resolution and contrast for a wavelet-based filter.