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Dedicated Algorithms for HyperspectraL Imaging in Astronomy

PROJECT ANR 08-BLAN-0253-01

Hyperspectral imaging is popular in many science areas such as remote sensing or laboratory experiments. In astronomy its spectacular development in the context of present (8m class with adaptative optics) and future (e.g. ELT and jWST) telescopes will provide soon to the community hyperspectral data with unprecedented level of complexity. With its 90,000 spatial elements and 4,000 spectral channels, the 2nd generation AO* assisted integral field spectrograph MUSE for the VLT is representative of these new instruments which will provide massive hyperspectral data. However present data analysis tools cannot cope with such data volume and characteristics. In order to achieve the best science return wich these new facilities, the aim of the DAHLIA project is to develop innovative signal processing methods in various areas relevant to the field.

https://dahlia.oca.eu/twiki/bin/view/Main/MainObjectives| Click here to know more...

* : Adaptive Optics technology allows the instruments to overcome the blurring effects of the atmosphere, producing images with sharpness close to the theoretical diffraction limit.

** : The Very Large Telescope (VLT) array is a European facility located atop the Paranal mountain in Chile consisting of four Unit Telescopes with main mirrors of 8.2 m diameter and four movable 1.8 m Auxiliary Telescopes.

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DAHLIA is a project supported by the french agency ANR 'Programme Blanc'. The project started on January 1st 2009 and lasts for 48 months.

Topic revision: r50 - 01 Oct 2009, SophieRousset
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