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Comparative analysis of classification accuracy for RISAT-1 compact polarimetric data for various land-covers.

, , , , , and . IGARSS, page 3586-3589. IEEE, (2013)

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A Novel Technique Based on Deep Learning and a Synthetic Target Database for Classification of Urban Areas in PolSAR Data., , , , and . IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 11 (1): 154-170 (2018)Modifying the Yamaguchi Four-Component Decomposition Scattering Powers Using a Stochastic Distance., , , , and . CoRR, (2015)Change Detection in Polarimetric SAR Images Using a Geodesic Distance Between Scattering Mechanisms., , , and . IEEE Geosci. Remote. Sens. Lett., 14 (7): 1066-1070 (2017)Snow wetness estimation from dual polarimetric coherent TerraSAR-X data., , , , and . IGARSS, page 2766-2769. IEEE, (2014)Variable importance and random forest classification using RADARSAT-2 PolSAR data., , , and . IGARSS, page 1210-1213. IEEE, (2014)Orientation angle estimation from PolSAR data using a stochastic distance., , , and . IGARSS, page 3474-3477. IEEE, (2014)Urban classification using PolSAR data and deep learning., and . IGARSS, page 353-356. IEEE, (2015)Tensorization of Multifrequency PolSAR Data for Classification Using an Autoencoder Network., , , , and . IEEE Geosci. Remote. Sens. Lett., 15 (4): 542-546 (2018)An unsupervised hidden Markov random field based segmentation of polarimetric SAR images., , , and . IGARSS, page 1536-1539. IEEE, (2016)Snow Cover Mapping with Poincare Sphere Parameters from Polsar Images Using an Auto-Encoder Network., , , and . IGARSS, page 8086-8089. IEEE, (2018)