IMAGE PROCESSING TOOLS REFINEMENT IN VIEW OF THE JIRAM ARRIVAL TO JUPITER

The JUNO mission, launched on August 2011 with the goal of investigating the origin and evolution of Jupiter, is close to its objective: the Jupiter Insertion Orbit (JOI) is planned on July 4 2016. The forthcoming months will be crucial for all the instrument teams to check the respective devices status and working abilities. JIRAM (Jupiter Infrared Auroral Mapper), with its imager and slit spectrometer operating over the 2-5 ?m [Adriani et al., 2014] will attempt both: 1.to reveal the deep atmospheric composition - 3 to 7 bars - in hot spots [Grassi et al., 2010] by the spectrometer measurements and taking advantage of the planning simulation tool setup by the JIRAM team. 2.to analyze the infrared auroral emissions of the H3+ molecules ionized by the Jovian magnetosphere currents and the morphology and vertical structure of the clouds, mapped by its imager in L and M band respectively and sounded by its spectrometer. The achievement of all these objectives requires the preparation of many different processing tools. Here we show some results relative to those tools principally pertaining to both the quality of the images in L and M band and the visualizations that can be realized from the spectrometer observations, taking advantage from an optimized scanning plan. Specific targets of these tools are: a.the noise removal, through a Singular Value Decomposition (SVD) based code. b.the horizontal reconstruction of the regions scanned by the spectrometer slit like a push broom remote sensing satellite. c.the vertical structure simulation of the clouds optical depths in the transmission windows of methane. This last task could be applied to the forward MC radiative transfer and the Bayesian inversion model outputs, setup by the JIRAM team.