[1] 王增福, 潘泉, 陈丽平,等. 基于航路-航迹关联的天波超视距雷达航迹分类[J]. 系统工程与电子技术, 2012, 34(10):2018-2022 WANG Z F, PAN Q, CHEN L P, et al. Tracks classification based on airway-track association for over-the-horizon radar[J]. Systems Engineering and Electronics, 2012, 34(10):2018-2022(in Chinese).
[2] HAYKIN S, STEHWIEN W, DENG C, et al. Classification of radar clutter in an air traffic control environment[J]. Proceedings of the IEEE, 1991, 79(6):742-772.
[3] NOYES S P. Track classification in naval defense radar using fuzzy logic[C]//Proceedings of Colloquium on Target Tracking and Data Fusion. Pisscataway, NJ:IEEE Press, 1998:1-6.
[4] GHADAKI H. Feature formation and classification of radar targets[D]. Toronto:University of Toronto, 2006:14-15.
[5] 程铭, 陈宇寒. 飞行计划和雷达航迹关联目标识别算法[J]. 四川兵工学报, 2010, 31(5), 107-109. CHENG M, CHEN Y H. Target recognition algorithm of association with flight plan and radar dynamic track[J]. Journal of Sichuan Ordnance, 2010, 31(5):107-109(in Chinese).
[6] OXENHAM M. Automatic air target to airline association[C]//Proceedings of the 3rd International Conference on Information. Piscataway, NJ:IEEE Press, 2000:4-19.
[7] MAFTIN H. Multi-sensor track classification in ro-torcraft pilot's associate data fusion[C]//Proceedings of 53th Annual Forum-American Helicopter Society. Virginia:American Helicopter Society, 1997:271-280.
[8] LEUNG H, WU J. Bayesian and dempster-shafer target identification for radar surveillace[J]. Aerospace and Electronic Systems, 2000, 36(2):432-447.
[9] MERCIER D, LEFÈVRE É, JOLLY D. Object association with belief functions, an application with vehicles[J]. Information Sciences, 2011, 181(24):5485-5500
[10] WARTELLE N, DELMOTTE F, GAQUER D. Classification de scènes à nombre d'objets inconnu[C]//MAnifestation des Jeunes Chercheurs STIC, Lorient:Presse Universitaires Française (PUF), 2006:22-24.
[11] ZOGHBY N, CHERFAOUI V. Optimal object association from pairwise evidential mass functions[C]//Proceedings of the 16th International Conference on Information Fusion. Pisscataway, NJ:IEEE Press, 2013:774-780.
[12] HACHOUR S, DELMOTTE F, MERCIER D. Tracking and identification of multiple targets[C]//Proceedings of the 7th Workshop Interdisciplinaire sur la Sécurité Globale. Troyes, France:Agence Nationale de Recherche (ANR), 2013:13-18.
[13] HACHOUR S, DELMOTTE F, MERIER D, et al. Object tracking and credal classification with kinematic data in a multi-target context[J]. Information Fusion, 2014, 20:174-188.
[14] DENOEUX T, MASSON M H. EVCLUS:Evidential clus-tering of proximity data[J]. IEEE Transactions on Systems, Man, and Cybernetics, Part B:Cybernetics, 2004, 34(1):95-109.
[15] MASSON M H, DENOEUX T. ECM:An evidential version of the fuzzy c-means algorithm[J]. Pattern Recognition. 2008, 41(4):1384-1397.
[16] BEZDEK J C. Pattern recognition with fuzzy objective function algorithms[M]. New York:Plenum Press, 1981:203-239.
[17] DAVE R N. Clustering of relational data containing noise and outliers[C]//Proceedings of the 1998 IEEE International Conference on Fuzzy Systems.Piscataway, NJ:IEEE Press, 1998:1411-1416.
[18] ALTINCAY H.Ensembling evidential k-nearest neighbor classifiers through multi-modal perturbation[J]. Applied Soft Computing, 2007, 7(3):1072-1083.
[19] LIU Z, PAN Q, DEZERT J. Classification of uncertain and imprecise data based on evidence theory[J]. Neuro Computing, 2014, 133:459-470.
[20] LIU Z, PAN Q, DEZERT J. A new belief-based K-nearest neighbor classification method[J]. Pattern Recognition, 2013, 46(3):834-844. |