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] Filters: Author is Alonso-González, A. [Clear All Filters]
. Multidimensional SAR Data Analysis Based on Binary Partition Trees and the Covariance Matrix Geometry. In International Radar Conference 2014. Lille, France: SEE; 2014. 
(654.95 KB)
(654.95 KB). PolSAR Time Series Processing with Binary Partition Trees. IEEE Transactions on Geoscience and Remote Sensing. 2014;52(6):3553 – 3567. (4.07 MB)
(4.07 MB). Bilateral Distance Based Filtering for Polarimetric SAR Data. Remote Sensing. 2013;5(11):5620-5641. (13.7 MB)
(13.7 MB). PolSAR time series processing and analysis based on Binary Partition Trees. In PoLinSAR 2013 Workshop. Frascati (Rome), Italy; 2013. (4.58 MB)
(4.58 MB). Processing Multidimensional SAR and Hyperspectral Images With Binary Partition Tree. Proceedings of the IEEE. 2013;101(3):723 - 747. (4.46 MB)
(4.46 MB). Filtering and Segmentation of Polarimetric SAR Data Based on Binary Partition Trees. IEEE transactions on geoscience and remote sensing. 2012;50:593–605. (2.02 MB)
(2.02 MB). Temporal polsar image series exploitation with binary partition trees. In IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2012. Munich, Germany; 2012. (2.04 MB)
(2.04 MB). Variable local weight filtering for polsar data speckle noise reduction. In IEEE International Geoscience and Remote Sensing Symposium, IGARSS'2012. Munich, Germany; 2012. (3.13 MB)
(3.13 MB). Binary partition tree as a polarimetric SAR data representation in the space-time domain. In IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2011. Vanouver, Canada; 2011. pp. 3819–3822. (1.53 MB)
(1.53 MB). PolSAR speckle filtering and segmentation based on binary partition tree representation. In 5th International Workshop on Science and Applications of SAR Polarimetry and Polarimetric Interferometry, PolInSAR 2011. Frascati (Rome), Italy; 2011. pp. 1–19. (11.09 MB)
(11.09 MB). Filtering and segmentation of polarimetric SAR images with binary partition trees. In IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2010. Honolulu, USA; 2010. pp. 4043–4046. (972.45 KB)
(972.45 KB)