Binary Partition Tree for Polarimetric SAR data

This C++ software was developed in the context of the PhD thesis of Alberto Alonso-Gonzalez: Multidimensional and temporal SAR data representation and processing based on binary partition trees, PhD Thesis, May 2014

The software is available at: https://github.com/aalgo/TSCBPT

It contains the code that implements the Binary Partition Tree technique for processing Polarimetric SAR data, as described in [1]. Additionally, the command line tool is able to process several acquisitions, in order to perform the time series BPT-based processing described in [2]. Finally, the tool also implements the Distance Based Bilateral filtering technique, as described in [3], in order to filter & regularize covariance matrices and preserve the spatial resolution.

[1] Alonso-Gonzalez, A.; Lopez-Martinez, C.; Salembier, P., Filtering and Segmentation of Polarimetric SAR Data Based on Binary Partition Trees, Geoscience and Remote Sensing, IEEE Transactions on, vol.50, no.2, pp.593, 605, Feb. 2012

[2] Alonso-Gonzalez, A.; Lopez-Martinez, C.; Salembier, P., PolSAR Time Series Processing with Binary Partition Trees, Geoscience and Remote Sensing, IEEE Transactions on, vol.52, no.6, pp.3553, 3567, June 2014

[3] Alonso-González, A.; López-Martínez, C.; Salembier, P.; Deng, X., Bilateral Distance Based Filtering for Polarimetric SAR Data, Remote Sensing, 2013, 5, 5620-5641.