TY - JOUR AU - Wu, Y. AU - Ji, K. AU - Yu, W. PY - 2008 DA - 2008// TI - Region-based classification of polarimetric SAR images using Wishart MRF[J] JO - IEEE Geoscience & Remote Sensing Letters VL - 5 UR - https://doi.org/10.1109/LGRS.2008.2002263 DO - 10.1109/LGRS.2008.2002263 ID - Wu2008 ER - TY - JOUR AU - Van Zyl, J. J. PY - 1989 DA - 1989// TI - Unsupervised classification of scattering behavior using radar polarimetry data[J] JO - IEEE Transactions on Geoscience & Remote Sensing VL - 27 UR - https://doi.org/10.1109/36.20273 DO - 10.1109/36.20273 ID - Van Zyl1989 ER - TY - JOUR AU - Cloude, S. R. AU - Pottier, E. PY - 1997 DA - 1997// TI - An entropy based classification scheme for land applications of polarimetric SAR[J] JO - IEEE Transactions on Geoscience & Remote Sensing VL - 35 UR - https://doi.org/10.1109/36.551935 DO - 10.1109/36.551935 ID - Cloude1997 ER - TY - JOUR AU - Cloude, S. R. AU - Pottier, E. PY - 1996 DA - 1996// TI - A review of target decomposition theorems in radar polarimetry[J] JO - IEEE Transactions on Geoscience & Remote Sensing VL - 34 UR - https://doi.org/10.1109/36.485127 DO - 10.1109/36.485127 ID - Cloude1996 ER - TY - JOUR AU - Krogager, E. PY - 1990 DA - 1990// TI - New decomposition of the radar target scattering matrix[J] JO - Electron. Lett. VL - 26 UR - https://doi.org/10.1049/el:19900979 DO - 10.1049/el:19900979 ID - Krogager1990 ER - TY - JOUR AU - Kong, J. A. AU - Swartz, A. A. AU - Yueh, H. A. PY - 1988 DA - 1988// TI - Identification of terrain cover using the optimum polarimetric classifier[J] JO - Journal of Electromagnetic Waves & Applications VL - 2 ID - Kong1988 ER - TY - BOOK AU - Pottier, E. AU - Saillard, J. PY - 2002 DA - 2002// TI - On Radar Polarization Target Decomposition Theorems with Application to Target Classification, by Using Neural Network Method[C] ID - Pottier2002 ER - TY - JOUR AU - Chen, K. S. AU - Huang, W. P. AU - Tsay, D. H. PY - 1996 DA - 1996// TI - Classification of multifrequency polarimetric SAR imagery using a dynamic learning neural network[J] JO - Geoscience & Remote Sensing IEEE Transactions on VL - 34 UR - https://doi.org/10.1109/36.499786 DO - 10.1109/36.499786 ID - Chen1996 ER - TY - JOUR AU - Antropov, O. AU - Rauste, Y. AU - Astola, H. PY - 2014 DA - 2014// TI - Land cover and soil type mapping from Spaceborne PolSAR data at L-band with probabilistic neural network[J] JO - IEEE Transactions on Geoscience & Remote Sensing VL - 52 UR - https://doi.org/10.1109/TGRS.2013.2287712 DO - 10.1109/TGRS.2013.2287712 ID - Antropov2014 ER - TY - BOOK AU - Fukuda, S. AU - Hirosawa, H. PY - 2001 DA - 2001// TI - Support Vector Machine Classification of Land Cover: Application to Polarimetric SAR Data[C] ID - Fukuda2001 ER - TY - JOUR AU - He, C. AU - Li, S. AU - Liao, Z. PY - 2013 DA - 2013// TI - Texture classification of PolSAR data based on sparse coding of wavelet polarization textons[J] JO - IEEE Transactions on Geoscience & Remote Sensing VL - 51 UR - https://doi.org/10.1109/TGRS.2012.2236338 DO - 10.1109/TGRS.2012.2236338 ID - He2013 ER - TY - STD TI - Zhong N, Yan T, Yang W, et al. A supervised classification approach for PolSAR images based on covariance matrix sparse coding[C]//IEEE, International Conference on Signal Processing. IEEE, (2017), pp. 213-216 ID - ref12 ER - TY - JOUR AU - Tao, M. AU - Zhou, F. AU - Liu, Y. PY - 2015 DA - 2015// TI - Tensorial independent component analysis-based feature extraction for polarimetric SAR data classification[J] JO - IEEE Transactions on Geoscience & Remote Sensing VL - 53 UR - https://doi.org/10.1109/TGRS.2014.2360943 DO - 10.1109/TGRS.2014.2360943 ID - Tao2015 ER - TY - JOUR AU - Chen, B. AU - Wang, S. AU - Jiao, L. PY - 2015 DA - 2015// TI - A three-component fisher-based feature weighting method for supervised PolSAR image classification[J] JO - IEEE Geoscience & Remote Sensing Letters VL - 12 UR - https://doi.org/10.1109/LGRS.2014.2360421 DO - 10.1109/LGRS.2014.2360421 ID - Chen2015 ER - TY - JOUR AU - Masjedi, A. AU - Zoej, M. J. V. AU - Maghsoudi, Y. PY - 2016 DA - 2016// TI - Classification of polarimetric SAR images based on modeling contextual information and using texture features[J] JO - IEEE Transactions on Geoscience & Remote Sensing VL - 54 UR - https://doi.org/10.1109/TGRS.2015.2469691 DO - 10.1109/TGRS.2015.2469691 ID - Masjedi2016 ER - TY - STD TI - Chamundeeswari V V, Singh D, Singh K. An Analysis of Texture Measures in PCA-Based Unsupervised Classification of SAR Images[J]. IEEE Geoscience & Remote Sensing Letters 6(2):214-218 (2009) ID - ref16 ER - TY - JOUR AU - Lee, J. S. AU - Grunes, M. R. AU - Ainsworth, T. L. PY - 2002 DA - 2002// TI - Unsupervised classification using polarimetric decomposition and the complex Wishart classifier[J] JO - IEEE Transactions on Geoscience & Remote Sensing VL - 37 ID - Lee2002 ER - TY - JOUR AU - Doulgeris, A. P. AU - Anfinsen, S. N. AU - Eltoft, T. PY - 2008 DA - 2008// TI - Classification with a non-Gaussian model for PolSAR data[J] JO - IEEE Transactions on Geoscience & Remote Sensing VL - 46 UR - https://doi.org/10.1109/TGRS.2008.923025 DO - 10.1109/TGRS.2008.923025 ID - Doulgeris2008 ER - TY - BOOK AU - Lin, L. Q. AU - Song, H. AU - Huang, P. P. PY - 2014 DA - 2014// TI - Unsupervised Classification of PolSAR Data Using Large Scale Spectral Clustering[C] ID - Lin2014 ER - TY - JOUR AU - Wang, S. AU - Liu, K. AU - Pei, J. PY - 2013 DA - 2013// TI - Unsupervised classification of fully polarimetric SAR images based on scattering power entropy and copolarized ratio[J] JO - IEEE Geoscience & Remote Sensing Letters VL - 10 UR - https://doi.org/10.1109/LGRS.2012.2216249 DO - 10.1109/LGRS.2012.2216249 ID - Wang2013 ER - TY - JOUR AU - Liu, G. AU - Li, M. AU - Wu, Y. PY - 2014 DA - 2014// TI - PolSAR image classification based on Wishart TMF with specific auxiliary field[J] JO - IEEE Geoscience & Remote Sensing Letters VL - 11 UR - https://doi.org/10.1109/LGRS.2013.2290066 DO - 10.1109/LGRS.2013.2290066 ID - Liu2014 ER - TY - JOUR AU - Doulgeris, A. P. PY - 2014 DA - 2014// TI - An automatic u-distribution and Markov random field segmentation algorithm for PolSAR images[J] JO - IEEE Transactions on Geoscience & Remote Sensing VL - 53 UR - https://doi.org/10.1109/TGRS.2014.2349575 DO - 10.1109/TGRS.2014.2349575 ID - Doulgeris2014 ER - TY - JOUR AU - Lee, J. S. AU - Grunes, M. R. AU - Pottier, E. PY - 2004 DA - 2004// TI - Unsupervised terrain classification preserving polarimetric scattering characteristics[J] JO - Geoscience & Remote Sensing IEEE Transactions on VL - 42 UR - https://doi.org/10.1109/TGRS.2003.819883 DO - 10.1109/TGRS.2003.819883 ID - Lee2004 ER - TY - JOUR AU - Chen, C. T. AU - Chen, K. S. AU - Lee, J. S. PY - 2003 DA - 2003// TI - The use of fully polarimetric information for the fuzzy neural classification of SAR images[J] JO - IEEE Transactions on Geoscience & Remote Sensing VL - 41 UR - https://doi.org/10.1109/TGRS.2003.813494 DO - 10.1109/TGRS.2003.813494 ID - Chen2003 ER - TY - BOOK AU - Khan, K. U. AU - Yang, J. PY - 2005 DA - 2005// TI - Novel Features for Polarimetric SAR Image Classification by Neural Network[C] ID - Khan2005 ER - TY - STD TI - Yuan C, Casasent D. A new SVM for distorted SAR object classification[J]. In: Proceedings of SPIE - The International Society for Optical Engineering, (2005), 5816 ID - ref26 ER - TY - BOOK AU - Cao, H. AU - Zhang, H. AU - Wang, C. PY - 2016 DA - 2016// TI - Supervised Locally Linear Embedding for Polarimetric SAR Image Classification[C] ID - Cao2016 ER - TY - STD TI - Agrawal N, Kumar S, Tolpekin V. Polarimetric SAR interferometry-based decomposition modelling for reliable scattering retrieval[C]// SPIE Asia-Pacific Remote Sensing, (2016), p. 987708 ID - ref28 ER - TY - JOUR AU - Vincent, L. AU - Soille, P. PY - 1991 DA - 1991// TI - Watersheds in digital spaces: an efficient algorithm based on immersion simulations[J] JO - IEEE Transactions on Pattern Analysis & Machine Intelligence VL - 13 UR - https://doi.org/10.1109/34.87344 DO - 10.1109/34.87344 ID - Vincent1991 ER - TY - BOOK AU - Comaniciu, D. AU - Meer, P. PY - 2002 DA - 2002// TI - Mean Shift: A Robust Approach Toward Feature Space Analysis[M] ID - Comaniciu2002 ER - TY - JOUR AU - Achanta, R. AU - Shaji, A. AU - Smith, K. PY - 2012 DA - 2012// TI - SLIC superpixels compared to state-of-the-art superpixel methods[J] JO - IEEE Transactions on Pattern Analysis & Machine Intelligence VL - 34 UR - https://doi.org/10.1109/TPAMI.2012.120 DO - 10.1109/TPAMI.2012.120 ID - Achanta2012 ER -