Martian aerosol abundance estimation based on unmixing of hyperspectral imagery

Bin Luo (1) , Xavier Ceamanos (2, 3) , Sylvain Douté (3) , Jocelyn Chanussot (1)

1 GIPSA-SIGMAPHY - GIPSA - Signal Images Physique
2 CNRS - Centre National de la Recherche Scientifique
3 LPG - Laboratoire de Planétologie de Grenoble

Classical linear unmixing approaches are not valid if the atmosphere and the aerosol are present in hyperspectral data, since the mixture model is no longer linear. In this paper, we present an iterative approach for estimating the abundance of aerosol based on unmixing of Martian hyperspectral data. On one hand, the results can provide the information on the aerosol of the Mars, which is very difficult to obtain. On the other hand, we can use the result to remove the effect of the aerosol on the original image and obtain more accurate linear unmixing results on the surface reflectance.

Domaines: Traitement des images [eess.IV]

Bin Luo, Xavier Ceamanos, Sylvain Douté, Jocelyn Chanussot. Martian aerosol abundance estimation based on unmixing of hyperspectral imagery. WHISPERS 2010 - 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, Jun 2010, Reykjavic, Iceland. conference proceedings. ⟨hal-00578910⟩