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学术论文

代表性国外著名期刊论文:

(1).F. Wang, Yan Wu,Ming Li. Adaptive hybrid conditional random fields model for SAR image segmentation.IEEE Trans on Geoscience and Remote Sensing,2017,55(1):537-550.

(2).J.W.Fan,Yan Wu,F.Wang.New Point Matching Algorithm Using Sparse Representation of Image Patch Feature for SAR Image Registration.IEEE Trans on Geoscience and Sensing,2017,55(3):1498-1510.

(3).F. Wang, Yan Wu, Ming Li.Unsupervised SAR Image Segmentation Using Higher Order Neighborhood-Based Triplet Markov Fields Model. IEEE Trans on Geoscience and Remote Sensing, Vol.52, No.8, August 2014, pp.5193–5205.
(4).Yan Wu,P. Zhang ,M.Li. SAR Image Multiclass Segmentation Using a Multiscale and Multidirection TMF Model in NSCT Domain. Imformation Fusion. 2013(14)441-449
(5).P.Zhang,M.Li,Yan Wu. Unsupervised Multi-class Segmentation of SAR images using Fuzzy Triplet Markov Fields Model. Pattern Recognition. 2012, 45(11): 4018-4033 .

(6).J.W.Fan,Yan Wu,Ming.Li.SAR Image Registration Using Multiscale Image Features with Sparse Representation.IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2017,10(4):1483-1493

(7).L. Jia,M.Li, Yan Wu. SAR Image Change Detection based on iterative label-information composite kernel supervised by anisotropic texture. IEEE Trans on Geoscience and Remote Sensing.2015,53(7):3960-3973.

(8).Yan.Wu, M.Li,P.Zhang, H.Zong, P.Xiao,C.Liu. Unsupervised multi-class segmentation of SAR images using triplet Markov fields models based on edge penalty. Pattern Recognition Letters. 2011, 32(11): 1532-1540 .
(9).M.Liu, Yan Wu, Q.Zhang, M. Li.“Dempster–Shafer fusion of multiple sparse representation and statistical property for SAR target configuration recognition,” IEEE Geosci. Remote Sens. Lett., vol. 11, no. 6, pp. 1106–1110, Jun. 2014.
(10).X.J.Lian, Yan Wu, F.Wang, Q.Zhang, and M.Li, “Unsupervised SAR image segmentation based on conditional Triplet Markov fields,” IEEE Geosci. Remote Sens. Lett., vol. 11, no. 7, pp. 1185–1189, July 2014.
(11).Lu Gan, Yan Wu, Fan Wang, Peng Zhang, and Qiang Zhang.Unsupervised SAR Image Segmentation Based on Triplet Markov Fields with Graph Cuts. IEEE Geoscience and Remote Sensing Letters, Vol.11, No.4, April, 2014, pp.853–857.
(12).Q. Zhang, Yan Wu, W. Zhao, F. Wang, J. W. Fan, and M. Li, “Multiple-scale salient-region Detection of SAR image based on Gamma distribution and local intensity variation,” IEEE Geosci. Remote Sens. Lett., vol. 11, no. 8, pp. 1370–1374, Aug. 2014.
(13).L.Jia, M.Li, Yan Wu, P. Zhang, H.Chen, L. An. Semisupervised SAR Image Change Detection Using a Cluster-Neighborhood Kernel. IEEE Geosci. Remote Sens. Lett., vol.11, no.8, pp. 1443-1447, Aug.2014.
(14).Ming Liu, Yan Wu, Peng Zhang, Qiang Zhang, Yanxin Li, and Ming Li. "SAR Target Configuration Recognition Using Locality Preserving Property and Gaussian Mixture Distribution". IEEE Geosci. Remote Sens. Lett., vol. 10, no. 2, pp. 268-272, Mar. 2013.
(15).F. Wang, Yan Wu, Q. Zhang, P. Zhang, M. Li, and Y. Lu."Unsupervised Change Detection on SAR Images Using Triplet Markov Field Model". IEEE Geosci. Remote Sens. Lett., 10(4). 697-701, Jul. 2013.
(16).P. Zhang, M. Li,Yan Wu. Unsupervised SAR Image Segmentation Using a Hierarchical TMF Model. IEEE Geosci. Remote Sens. Lett., vol. 10, no.5, pp.971-975, 2013.
(17).L.Gan, Yan Wu, M. Liu, P. Zhang, H. Ji, F. Wang. Triplet Markov Fields with Edge Location for Fast Unsupervised Multi-class Segmentation of SAR Images. IET Image Process., 2012, 6(7), pp. 831–838.
(18).P. Zhang , M. Li, Yan Wu.An Improved Particle Filter Algorithm Based on Markov Random Field Modeling in Stationary Wavelet Domain for SAR Image Despeckling. Pattern Recognition Letters. 2012, 33(10): 1316–1328.
(19).P. Zhang, M. Li,Yan Wu, M. Liu, F. Wang, and L. Gan. SAR image multiclass segmentation using a multiscale TMF model in Wavelet Domain. IEEE Geosci. Remote Sens. Lett., vol. 9, no.6, pp.1099-1103, 2012.
(20).Yan Wu, X. Wang, P. Xiao, L. Gan, C. Liu, M. Li. “Fast algorithm based on triplet Markov fields for unsupervised multi-class segmentation of SAR images”. Science in China Series F :Imformation Sciences. 2011, 54(7): 1524–1533.
(21).Gaofeng Liu, Ming Li, Yan Wu and Peng Zhang. PolSAR Image Classification Based on Wishart TMF with Specific Auxiliary Field. IEEE Geoscience and Remote Sensing Letters. 2014, 11(7): 1230-1234.
(22).Lei Zuo, Ming Li, Yan Wu, Peng Zhang. CFAR Detection of Range-Spread Targets Based on the Time-Frequency Decomposition Feature of Two Adjacent Returned Signals. IEEE Transactions on Signal Processing. 2013, 61(24): 6307-6319.

 

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