How to Apply ICA on Actual Data? Example of Mars Hyperspectral Image Analysis

Abstract : As any estimation method, results provided by ICA are dependent of a model — usually a linear mixture and separation model — and of a criterion — usually independence. In many actual problems, the model is a coarse approximation of the system physics and independence can be more or less satisfied, and consequently results are not reliable. Moreover, with many actual data, there is a lack of reliable knowledge on the sources to be extracted, and the interpretation of the independent components (IC) must be done very carefully, using partial prior information and with interactive discussions with experts. In this talk, we explain how such a scientific method can take place on the example of analysis of Mars hyperspectral images.
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Contributor : Christian Jutten <>
Submitted on : Wednesday, September 19, 2007 - 4:47:54 PM
Last modification on : Monday, July 8, 2019 - 3:09:02 PM
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  • HAL Id : hal-00173328, version 1


Christian Jutten, Saïd Moussaoui, Frédéric Schmidt. How to Apply ICA on Actual Data? Example of Mars Hyperspectral Image Analysis. 15th International Conference on Digital Signal Processing, DSP 2007, Jul 2007, Cardiff, United Kingdom. pp.1-12. ⟨hal-00173328⟩



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