Jinghong Han, Haijiang Wang, Mengqing Gao, and Min Sun
[1] S.R. Cloude and E. Pottier, An entropy based classification scheme for land applications of polarimetric SAR, IEEE Transactions on Geoscience & Remote Sensing, 35(1), 1997, 68–78. [2] S.R. Cloude and E. Pottier, A review of target decomposition theorems in radar polarimetry, IEEE Transactions on Geoscience & Remote Sensing, 34(2), 1996, 498–518. [3] E. Krogager, New decomposition of the radar target scattering matrix, Electronics Letters, 26(18), 1990, 1525–1527. [4] J.S. Lee, M.R. Grunes, and R. Kwok, Classification of multilook polarimetric SAR imagery based on complex Wishart distribution, International Journal of Remote Sensing, 15(11), 1994, 13. [5] Z.L. Fu, W.Y. Zhang, and Q.X. Meng, SAR image classification based on SVM with fusion of gray scale and texture features, Journal of Applied Sciences, 30(5), 2012, 498–504. [6] C.T. Chen, K.S. Chen, and J.S. Lee, The use of fully polarimetric information for the fuzzy neural classification of SAR images, IEEE Transactions on Geoscience & Remote Sensing, 41(9), 2003, 2089–2100. [7] Z. Zhang, H. Wang, F. Xu, et al., Complex-valued convolutional neural network and its application in polarimetric SAR image classification, IEEE Transactions on Geoscience & Remote Sensing, 55(12), 2017, 1–12. [8] X. Li, H. Dong, C. Luo, et al., A method of aircraft target recognition based on LLE and HMM, International Journal of Robotics and Automation, 32(2), 2017, 158–163. [9] J. Pei, Y. Huang, X. Liu, et al., 2DPCA-based two-dimensional maximum interclass distance embedding for SAR ATR, International Conf. on Communications, Circuits and Systems, Chengdu, China, IEEE, 2014, 267–270. [10] M. Belkin and P. Niyogi, Laplacian eigenmaps for dimensionality reduction and data representation, Neural Computation, 15(6), 2014, 1373–1396. [11] T. Deng, J. Liu, N. Wang, et al., Locally linear embedding method for high dimensional data outlier detection, Computer Engineering & Applications, 54(6), 2018, 115–122. [12] X. Li, H. Dong, et al., A method of aircraft target recognition based on LLE and HMM, International Journal of Robotics and Automation, 32(2), 2017, 158–163. [13] R. Rajapriyadharshini and R.J. Benadict, SAR image denoising via clustering based linear discriminant analysis, International Conf. on Innovations in Information, Embedded and Communication Systems, Karpagam University, India, IEEE, 2015, 1–6. [14] H. Cao, H. Zhang, C. Wang, et al., Supervised locally linear embedding for polarimetric SAR image classification, Geoscience and Remote Sensing Symposium, Beijing, China, IEEE, 2016, 7561–7564. [15] A. Freeman and S.L. Durden, A three-component scattering model for polarimetric SAR data, IEEE Transactions on Geoscience and Remote Sensing, 36(3), 2002, 963–973. [16] Y. Yamaguchi, Four-component scattering model for polarimetric SAR image decomposition based on asymmetric covariance matrix, Technical Report of IEICE Sane, 104(8), 2005, 1699–1706. [17] R. Achanta, A. Shaji, K. Smith, et al., SLIC superpixels compared to state-of-the-art superpixel methods, IEEE Transactions on Pattern Analysis and Machine Intelligence, 34(11), 2012, 2274–2282. [18] V. Vapnik, The nature of statistical learning theory (Berlin, Germany: Springer, 1995). [19] J.S. Lee and M.R. Grunes, Classification of multi-look polarimetric SAR data based on complex Wishart distribution, [Proceedings] NTC-92: National Telesystems Conf., Beijing, China, IEEE, 1992. [20] X. Ma, H. Shen, J. Yang, et al., Polarimetric-spatial classification of SAR images based on the fusion of multiple classifiers, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 7(3), 2014, 961–971.
Important Links:
Go Back
