#acl BecariosGrupo:delete,read,write,admin All:read

= Fisher Vectors for PolSAR Image Classification =

Code used in paper:

Javier Redolfi, Jorge Sánchez, and Ana Georgina Flesia<<BR>>
'''"Fisher Vectors for PolSAR Image Classification"'''<<BR>>
IEEE Geoscience and Remote Sensing Letters, '''99''', Septiembre 2017. ([[http://ieeexplore.ieee.org/abstract/document/8052593/|link]])<<BR>>                                                           


== Download ==

[[attachment:JavierAndresRedolfi/sartb/sartb.tar.gz|sartb.tar.gz]]

== Features ==

The library consist basically of the following python modules:

 * PolSAR image manipulation: pseudocolor image generation, force SPD.
 * PolSAR datasets: San Francisco Bay, Flevoland and Foulum. Train/test splits generation, manual selection of training points. Accuracy and Confusion Matrix computation.
 * Smoothing algorithms: Potts, Graph Cut and Maximun.
 * Unary potential generation from Complex Wishart, Real Wishart Mixture and FV (RWM based).

== Dependencies ==
                                                                                                             
 * vrl -> http://www.famaf.unc.edu.ar/~jsanchez/efv/
 * matplotlib
 * numpy
 * pygco -> http://vision.csd.uwo.ca/code/gco-v3.0.zip
 * pystruct -> https://pystruct.github.io/
 * scikit-image -> http://scikit-image.org/
 * scikit-learn -> scikit-learn.org/
 * scipy

== Installation on Debian/Ubuntu ==

(use sudo for Ubuntu)

{{{#!bash
# apt-get install python2.7 python-matplotlib python-numpy python-skimage python-sklearn python-scipy
}}}

 * Install vrl using the README provided by the library.

{{{#!bash
# pip install pystruct
}}}

 * Install pygco using the gco_python/README.md provided by the library.

=== Installing the module ===

 * Just uncompress it.

== Example: Comparison with paper "Pol-SAR Classification Based on Generalized Polar Decomposition of Mueller Matrix" ==

 * Download the dataset and uncompress it: -> https://www.dropbox.com/s/xulk8t5pizoceh5/dataset.tar.gz?dl=0
 * Run the script:
{{{#!bash
$python src/bin/comparison_mueller.py --dataset=path_to_dataset
}}}