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#acl Default All:read

== Fisher Vectors for PolSAR Image Classification ==

=== Abstract ===
In this letter we study the application of the Fisher Vector (FV) to the problem of pixel-wise supervised classification of PolSAR images. This is a challenging problem since information in those images is encoded as complex-valued covariance matrices. We observe that the real part of these matrices preserve the positive semidefiniteness property of their complex counterpart. Based on this observation, we derive a FV from a
mixture of real Wishart pdfs and integrate it with a Potts-like energy model in order to capture spatial dependencies between
neighboring regions. Experimental results on two challenging datasets show the effectiveness of the approach.

=== Paper ===

Javier Redolfi, Jorge Sánchez, and Ana Georgina Flesia<<BR>>
'''"Fisher Vectors for PolSAR Image Classification"'''<<BR>>
IEEE Geoscience and Remote Sensing Letters (Accepted with Major Changes)


=== Code ===

=== Dataset ===

=== Classification Examples ===

 * As a second contribution, we have made available a set of ground truth annotations and a well defined training/testing procedure based on two popular datasets found in the literature.

 * To facilitate reproducibility, data and scripts are made available at the project website.

 * We also make classification results (qualitative) available trough the project website along with the scripts and a detailed explanation on how to generate them.