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Data inversion for hyperspectral objects in astronomy

机译:天文学中高光谱物体的数据反转

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We present an original method for reconstruction of hyperspectral objects (two spatial and one spectral dimensions) from data provided by the infrared slit spectrograph on board the Spitzer Space Telescope. The originality of the work lies in the fact that bothmeasurementmodel and inversionmethod are tackled in continuous (spatial and spectral) variables. The method is built in a deterministic regularization framework and enable to achieve both deconvolution and over-resolution. Results show that the method is able to evidence spatial structures not detectable by means of conventional methods. The spatial resolution is shown to be improved by a factor 1.5. We discuss our data processing approach for the new generation of infrared to millimeter space observatories launched in 2009 (Herschel and Planck).
机译:我们介绍了一种从斯波特空间望远镜的红外狭缝光谱仪提供的数据重建高光谱物体(两个空间和一个光谱尺寸)。该工作的原创性在于,在连续(空间和光谱)变量中,既乐曲模型和反转方法都是在连续的(空间和光谱)变量中的事实。该方法是在确定性正则化框架中构建的,使能实现折断和过度分辨率。结果表明,该方法能够通过常规方法能够证据不可检测的空间结构。空间分辨率显示为1.5的提高。我们讨论了我们2009年推出的新一代红外线的数据处理方法(Herschel和Planck)。

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