Distances between SAR distributions

Encadrants : Jean-Marie Nicolas jean-marie.nicolas@telecom-paristech.fr, Florence Tupin florence.tupin@telecom-paristech.fr

The objective of this project is to compare distances between distributions. Among the different metrics that are usually used to compare pdf we can cite Kullback-Leibler divergence, Kolmogorov-Smirnov test, Khi-deux test, ….

In the case of SAR images, the specificities of the distributions and their heavy tails influence greatly the comparison. This effect will be investigated on usual SAR distributions focusing on the Kolmogorov-Smirnov test.

Langage : Python (if possible), Maple

 

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