Visible and near infrared imaging spectroscopy is a key technique to study and monitor the Planets (including Earth) and the Universe. It is used for a wide variety of astrophysical investigations: remote sensing of planetary surfaces from orbiters, telescopic observations of stellar populations and galaxies, characterization of extraterrestrial matter in the laboratory, etc. Mars Express in orbit around planet Mars. Courtesy ESA The common feature is the acquisition of three (two spatial and one spectral) dimensional hyperspectral images that allow the mapping of chemical, physical and structural properties. Constant technological improvements promote the acquisition of dramatically expending spectro-image collections. In the field of space exploration for instance, a new generation of imaging spectrometers is emerging with an additional angular dimension for a better characterization of planetary materials and separation of atmospheric versus surface signals. The OMEGA (Observatoire pour la Minéralogie, l'Eau, les Glaces et l'Activité) instrument on the Mars Express orbiter was a precursor since it performs punctual EPF (emission-phase function) observations. The Compact Reconnaissance Imaging Spectrometer for Mars (CRISM) on the Mars Reconnaissance Orbiter (MRO) is the first sensor to acquire systematically hyperspectral multi-angle (HMA) data from deep space. These new instruments will again accentuate the size (several tera-bytes) and complexity of terrestrial and planetary remote sensing data. HMA images induce data manipulation and visualization problems due to their size and their 4 dimensionality. Furthermore these “hypercubes” require algorithms with new functionalities and improved efficiency for their statistical and physical analysis. This is a serious hurdle agencies and scientists have to face urgently to insure a satisfactory exploitation of their satellite observations within a time frame of years and not several decennials.

In this context, we conduct an ambitious project entitled: “Visualization and analysis of multi-dimensional hyperspectral images in Astrophysics” that aims at:

- developing physical as well as mathematical models, algorithms, and software able to deal efficiently with the HMA data but also with any other kind of large hyperspectral dataset (astronomical or experimental),

- contributing to coordinate the efforts of an international community which is currently dispersed among the Earth, Planetary Sciences, Astronomy, and Applied Mathematics, valorizing our research by publishing scientific papers and developing modular software distributed as open source.

aims.txt · Last modified: 2011/12/06 14:24 by leaumerc
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