A framework for classification of urban areas using polarimetric SAR images integrating color features and statistical model

LIU Hong-Ying; WANG Shuang; WANG Rong-Fang; SHI Jun-Fei; ZHANG Er-Lei; YANG Shu-Yuan; JIAO Li-Cheng

doi:10.11972/j.issn.1001-9014.2016.04.04

[1] Cong X, Gui G, Long K, et al. Quadratic compressed sensing based SAR imaging algorithm for phase noise mitigation [J]. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences, 2016, 99(6): 1233-1237.

[2] Wu J, Wang F, Xiang P. Automatic network clustering via density-constrained optimization with group operator[J]. Applied Soft Computing, 2016,38:606-616.

[3] Lee J S, Grunes M R, Ainsworth T L. Unsupervised classification using polarimetric decomposition and the complex Wishart classifier[J]. IEEE Transactions on Geoscience and Remote Sensing, 1999. 37(5): 2249-2258.

[4] Lee J S, Grunes M R, Pottier E, et al. Unsupervised terrain classification preserving polarimetric scattering characteristics[J]. IEEE Transactions on Geoscience and Remote Sensing, 2004. 42(4):722-731.

[5] Freeman A, Durden S L. A three-component scattering model for polarimetric SAR data[J]. IEEE Trans. Geosci. Remote Sens., 1998, 36(3):963-973.

[6] Zhao L W, Zhou X G, Jiang Y M, et al. Iterative classification of polarimetric SAR image based on the freeman decomposition and scattering entropy[C]. In Proc. 1st Asian Pac. Conf. Synthetic Aperture Radar, Huangshan, China, Nov. 2007:473-476.

[7] Ma X L, Jiao L C. SAR image segmentation based on watershed and spectral clustering[J].J. Infrared Millim. Waves, 2008,27(6):452-456.

[8] Yang W, Zou T Y, Sun H, et al. Improved unsupervised classification based on Freeman–Durden polarimetric decomposition[C]. In Proc. 7th Eur. Conf. Synthetic Aperture Radar, Friedrichshafen, Germany, Jun. 2008:1-4.

[9] Wang S, Liu K, Pei J, et al. Unsupervised classification of fully polarimetric SAR images based on scattering power entropy and copolarized ratio[J]. IEEE Geoscience and Remote Sensing Letters, 2013,10(3):622-626.

[10] Freitas C C, Frery A C, and Correia A H. The polarimetric G distribution for SAR data analysis[J]. Environmetrics, 2005, 16(1):13-31.

[11] Yamaguchi Y, Moriyama T, Ishido M, et al, Fourcomponent scattering model for polarimetric SAR image decomposition[J]. IEEE Trans. Geosci. Remote Sens., 2005,43(8):1699-1706.

[12] Sato A, Yamaguchi Y, Singh G, et al. Four-component scattering power decomposition with extended volume scattering model[J]. IEEE Geoscience and Remote Sensing Letters, 2012, 9(2):166-170.

[13] Du L, Lee J S. Fuzzy classification of earth terrain covers using complex polarimetric SAR data[J]. International Journal of Remote Sensing, 1996, 17(4):809-826.

[14] Kersten P R, Lee J S, Ainsworth T L. Unsupervised classification of polarimetric synthetic aperture radar images using fuzzy clustering and EM clustering[J]. IEEE Transactions on Geoscience and Remote Sensing,2005, 43:519-27.

[15] Cao F, Hong W, Wu Y, et al. An unsupervised segmentation with an adaptive number of clusters using the SPAN/H/α/A space and the complex Wishart clustering for fully polarimetric SAR data analysis[J]. IEEE Transactions on Geoscience Remote Sensing, 2007, 45(11):3454-3467.

[16] Tan L, Yan R. Unsupervised classification of PolSAR data using Freeman decomposition and fuzzy clustering, Synthetic Aperture Radar[C]. 2009. APSAR 2009. 2nd Asian-Pacific Conference on, On page(s): 489-493.

[17] Wu J, Zhang L, Li Y, et al. Partition signed social networks via clustering dynamics[J].Physica A. 2016,443:568-582.

[18] He W, Jager M, Hellwich O. Comparison of three unsupervised segmentation algorithms for SAR data in urban areas[C]. In: Proceedings of the International Geoscience and Remote Sensing Symposium. Boston, USA, 2008:241-244.

[19] Uhlmann S, Kiranyaz S. Integrating color features in polarimetric SAR image classification[J]. IEEE Trans. Geosci. Remote Sens., 2014, 52(4):2197-2216.

[20] Castleman K R. Digital image processing[M]. Prentice Hall, Englewood Cliffs, NJ, USA, 1996(Sec. 21.3.4).

[21] Frery A C, Muller H J, Yanasse C D, et al. A model for extremely heterogeneous clutter[J]. IEEE Transactions on Geoscience and Remote Sensing, 1997,35(3),648-659.

[22] Anfinsen S N, Eltoft T. Application of the matrix-variate Mellin transform to analysis of polarimetric radar images[J]. IEEE Trans.Geosci. Remote Sens. 2011, 49(6):2281-2295.