Kwon O K, Sim D G, Park R H. Robust Hausdorff distance matching algorithms using pyramidal structures. Pattern Recognition, 2001, 34(10): 2005-2013
[2]
Marouani S, Huertas A, Medioni G. Model-based aircraft recognition in perspective aerial imagery. In: Proceeding of International Symposium on Computer Vision. Coral Gables, FL, USA: IEEE, 1995. 371-376
[3]
Gilmore J F. Knowledge-based target recognition system evolution. Optical Engineering, 1991, 30(5): 557-570
[4]
Du Ya-Juan, Zhang Hong-Cai, Pan Quan. Three-dimensional aircraft recognition using moments. Journal of Data Acquisition and Processing, 2000, 15(3): 390-394 (杜亚娟, 张洪才, 潘泉. 基于矩特征的三维飞机目标识别. 数据采集与处理, 2000, 15(3): 390-394)
Li Xin-De, Yang Wei-Dong, Dezert J. An airplane image target's multi-feature fusion recognition method. Acta Automatica Sinica, 2012, 38(8): 1298-1307 (李新德, 杨伟东, Dezert J. 一种飞机图像目标多特征信息融合识别方法. 自动化学报, 2012, 38(8): 1298-1307)
[7]
Hou Jun, Miao Zhuang, Pan Quan. Intelligent target recognition method of sequential images based on DSmT. Computer Applications, 2006, 26(1): 120-122 (侯俊, 苗壮, 潘泉. 基于DSmT的序列图像智能融合目标识别方法. 计算机应用, 2006, 26(1): 120-122)
[8]
Huang Z H, Leng J S. Analysis of Hu's moment invariants on image scaling and rotation. In: Proceedings of the 2nd International Conference on Computer Engineering and Technology. Chengdu, China: IEEE Computer Society, 2010. 7: 476-480
[9]
Hu M K. Visual pattern recognition by moment invariants. IEEE Transactions on Information Theory, 1962, 8(2): 179-187
[10]
Dezert J. Foundations for a new theory of plausible and paradoxical reasoning. Information and Security, 2002, 9: 13-57
[11]
Li X D, Dezert J, Smarandache F, Huang X H. Evidence supporting measure of similarity for reducing the complexity in information fusion. Information Sciences, 2011, 181(10): 1818-1835
[12]
Smarandache F, Dezert J. Advances and Applications of DSmT for Information Fusion (Collected Works). USA: Infinite Study, 2006, Vol. 2.
[13]
Specht D F. Enhancements to probabilistic neural networks. In: Proceedings of 1992 International Joint Conference on Neural Networks. New York, USA: IEEE, 1992: 761-768
[14]
Baum L E, Eagon J A. An inequality with applications to statistical estimation for probabilistic functions of Markov processes and to a model for ecology. Bulletin of the American Mathematical Society, 1967, 73(3): 360-363
[15]
Kuo S S, Agazzi O E. Machine vision for keyword spotting using pseudo 2D hidden Markov models. In: Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing. Minneapolis, MN, USA: IEEE, 1993: 81-84
[16]
Dempster A P, Laird N M, Rubin D B. Maximum likelihood from incomplete data via the EM algorithm. Journal of the Royal Statistical Society. Series B (Methodological), 1977, 39: 1551-1588
[17]
Marsiglia G, Fortunato L, Ondini A, Balzarotti G. Template matching techniques for automatic IR target recognition in real and simulated scenarios: tests and evaluations. In: Proceedings of SPIE-The International Society for Optical Engineering: Automatic Target Recognition XIII. Orlando, FL, USA: SPIE, 2003, 5094: 159-169
[18]
Zhou Yu, Liu Jun-Tao, Bai Xiang. Research and perspective on shape matching. Acta Automatica Sinica, 2012, 38(6): 889-910 (周瑜, 刘俊涛, 白翔. 形状匹配方法研究与展望. 自动化学报, 2012, 38(6): 889-910)
[19]
Das S, Bhanu B. A system for model-based object recognition in perspective aerial images. Pattern Recognition, 1998, 31(4): 465-491
[20]
Dudani S A, Breeding K J, McGhee R B. Aircraft identification by moment invariants. IEEE Transactions on Computers, 1977, C-26(1): 39-46
[21]
Gu Li, Zhuang Zhen-Quan, Zheng Guang-Yong, Wang Zai-Jian. Algorithm for hand shape matching based on feature fusion. Computer Applications, 2005, 25(10): 2286-2288 (顾理, 庄镇泉, 郑光勇, 王再见. 基于特征融合的手形匹配算法. 计算机应用, 2005, 25(10): 2286-2288)
[22]
Chen Li, Chen Jing. Multi-feature fusion method based on support vector machine and k-nearest neighbor classifier. Computer Applications, 2009, 29(3): 833-835 (陈丽, 陈静. 基于支持向量机和 k-!近邻分类器的多特征融合方法. 计算机应用, 2009, 29(3): 833-835)
[23]
Yang Fu-Ping, Bai Zhen-Xing. Target recognition method based on combination of BP neural networks with D-S evidence theory. Fire Control and Command Control, 2006, 31(10): 88-90 (杨福平, 白振兴. BP 神经网络和 D-S 证据理论的目标识别. 火力与指挥控制, 2006, 31(10): 88-90)
[24]
Huang Jin, Liang Yan, Cheng Yong-Mei, Pan Quan, Hu Jin-Wen. Automatic target recognition method based on sequential images. Acta Aeronautica et Astrontica Sinica, 2006, 27(1): 87-93 (黄金, 梁彦, 程咏梅, 潘泉, 胡劲文. 基于序列图像的自动目标识别算法. 航空学报, 2006, 27(1): 87-93)
[25]
Chen S Y, Feng J. Research on detection of fabric defects based on singular value decomposition. In: Proceedings of 2010 IEEE International Conference on Information and Automation. Harbin, China: IEEE, 2010. 857-860
[26]
Pan Jin-Dong, Li Xin-De. An airplane target recognition method based on singular value and PNN. Aero Weaponry, 2013, (1): 45-50 (潘锦东, 李新德. 一种奇异值与PNN结合的飞机目标识别方法. 航空兵器, 2013, (1): 45-50)
[27]
Smarandache F, Dezert J. On the generation of hyper-powersets for the DSmT. In: Proceedings of the 6th International Conference on Information Fusion. Cairns, QLD, Australia: IEEE Computer Society, 2003. 2: 1118-1125
[28]
Li Xin-De, Dezert J, Huang Xin-Han, Meng Zheng-Da, Wu Xue-Jian. A fast approximate reasoning method in hierarchical DSmT(A). Acta Electronica Sinica, 2010, 38(11): 2566-2572 (李新德, Dezert J, 黄心汉, 孟正大, 吴雪建. 一种快速分层递阶DSmT近似推理融合方法(A). 电子学报, 2010, 38(11): 2566-2572)
[29]
Specht D F. Probabilistic neural networks. Neural Networks, 1990, 3(1): 109-118
[30]
Baum L E, Petrie T. Statistical inference for probabilistic functions of finite state Markov chains. The Annals of Mathematical Statistics, 1966, 37(6): 1554-1563
[31]
Baum L E, Petrie T, Soules G, Weiss N. A maximization technique occurring in the statistical analysis of probabilistic functions of Markov chains. The Annals of Mathematical Statistics, 1970, 41(1): 164-171
[32]
Rabiner L R. A tutorial on hidden Markov models and selected applications in speech recognition. Proceedings of the IEEE, 1989, 77(2): 257-286
[33]
Makhoul J, Roucos S, Gish H. Vector quantization in speech coding. Proceedings of the IEEE, 1985, 73(11): 1551-1588
[34]
Wang Xiang-Hai, Cong Zhi-Huan, Fang Ling-Ling, Qin Ju-Ao. Determination of real-time vehicle driving status using HMM. Acta Automatica Sinica, 2013, 39(12): 2131-2142 (王相海, 丛志环, 方玲玲, 秦钜鳌. 基于HMM 的车辆行驶状态实时判别方法研究. 自动化学报, 2013, 39(12): 2131-2142)
[35]
Welch L R. Hidden Markov models and the baum-welch algorithm. IEEE Information Theory Society Newsletter, 2003, 53(4): 10-13
