期刊文献+

基于Sugeno模糊积分的目标识别效果评估 被引量:6

Performance Evaluation of ATR Based on Fuzzy Integration
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摘要 针对目标识别效果评估,提出一种通用化的评估思路,选取了评估指标及测度方法,并给出识别过程的参照信息以及计算方法。随后,构筑了基于模糊积分的目标识别效果评估模型。最后,结合实测数据和拟合数据完成了仿真。 Aiming at performance evaluation of Automatic Target Recognition (ATR), a general idea is developed; the evaluation indices and their measurement method are chosen; the information being referred is presented. Then, a performance evaluation model is formed based on fuzzy integration. In the end, simulation is carried out by test data and synthesis data.
出处 《系统仿真学报》 EI CAS CSCD 北大核心 2005年第5期1175-1178,1199,共5页 Journal of System Simulation
基金 国家自然科学基金(69901005) 国防预研项目(41303040203) 国家杰出青年项目(60025102) 国防预研基金项目(51401040103KG0170)
关键词 目标识别 效果评估 模糊积分 算法 automatic target recognition performance evaluation fuzzy integration algorithm
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参考文献7

  • 1汪敏,李兴国.复杂背景下毫米波雷达目标识别的一种方法[J].系统工程与电子技术,1997,19(12):29-33. 被引量:3
  • 2杨?,裴继红,杨万海.基于模糊积分的融合图像评价方法[J].计算机学报,2001,24(8):815-818. 被引量:31
  • 3Hatem N.Nasr. Automated Instrumentation Evaluation and Diagnostics of Automatic Target Recognition Systems[A]. In: 1990 SPIE Automatic Object Recognition Conference[C]. Cocoa Beach, Florida. SPIE Proceedings Vol. IS7: 202-213.
  • 4Arnold C W. Improve ATR Performance Evaluation Via Mode Seeking[A]. In: Signal processing, sensor fusion, and target recognition IV Conference[C]. Orlando, FL, Apr. 17-19, 1995, Bellingham, WA. SPIE Proceedings. Vol. 2484, 1995: 574-582.
  • 5Bassham, Christopher Brian. Automatic target recognition classification system evaluation methodology: [D]. US: Air Force Institute of Technology,2002.
  • 6Edward .J. Rothwell, Dennis P. Nyquist , Kun-Mu Chen , et al.. Radar Target Discrimination Using the Extinction-Pulse Technique[J].. IEEE Trans. A.P. , 1985, 33(9): 929-936.
  • 7Edward .J. Rothwell, Dennis P. Nyquist,Kun-Mu Chen, et al. Frequency Domain E-Pulse Synthesis and Target Discrimination[J]. IEEE Trans. A.P. , 1987, 35(4): 426-434.

二级参考文献2

  • 1Zhou J,Int J Remote Sensing,1998年,19卷,4期,743页
  • 2胡淑礼,模糊数学及其应用,1994年

共引文献32

同被引文献22

  • 1李彦鹏,黎湘,王宏强,庄钊文.模糊综合评判与数理统计知识结合的目标识别效果评估[J].中国工程科学,2005,7(3):64-68. 被引量:9
  • 2李彦鹏,黎湘,王宏强,庄钊文.基于模糊聚类分析的目标识别效果评估[J].现代雷达,2005,27(8):14-17. 被引量:7
  • 3李彦鹏,黎湘,庄钊文,梁甸农.应用多级模糊综合评判的目标识别效果评估[J].信号处理,2005,21(5):528-533. 被引量:10
  • 4STEPHEN G, ALSING B S. The evaluation of competing classifiers [ D ]. Xi' an: Air Force Institute of Technology, 2000.
  • 5Stephen G, Alsing B S. The Evaluation of Competing Classifiers [D]. Air Force Institute of Technology, 2000.
  • 6Hecht-Nielsen R.Theory of the backpropagtion neural network[C] //Proc of IJCNN,1989:593-603.
  • 7Cetin M,Karl W C,Castanon D A.Analysis of the Impact of Feature-enhanced SAR Imaging on ATR Performance[C]//Proc.of SPIE'02.Orlando,USA:[s.n.],2002:134-145.
  • 8Novak L M,Owirka G J,Weaver A L.Automatic Target Recognition Using Enhanced Resolution SAR Data[J].IEEE Transactions on Aerospace and Electronic Systems,1999,35(1):157-175.
  • 9de Vore M D,O'Sullivan J A.Performance Complexity Study of Several Approaches to Automatic Target Recognition from SAR Images[J].IEEE Transactions on Aerospace and Electronic Systems,2002,38(2):632-648.
  • 10Clark L G,Velten W J.Image Characterization for Automatic Target Recognition Algorithm Evaluation[J].Optical Engineering,1991,30(2):147-153.

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