Advanced Search
Volume 27 Issue 3
Mar.  2005
Turn off MathJax
Article Contents
Meng Ji-cheng, Yang Wan-lin . Range Profile Recogniton of Radar Target Based on the Kernel-Based Methods[J]. Journal of Electronics & Information Technology, 2005, 27(3): 462-466.
Citation: Meng Ji-cheng, Yang Wan-lin . Range Profile Recogniton of Radar Target Based on the Kernel-Based Methods[J]. Journal of Electronics & Information Technology, 2005, 27(3): 462-466.

Range Profile Recogniton of Radar Target Based on the Kernel-Based Methods

  • Received Date: 2003-10-27
  • Rev Recd Date: 2004-04-27
  • Publish Date: 2005-03-19
  • The classification mechanism of the kernel-based methods in pattern recognition, i.e. SVMs, nonPCA, and nonLDA, are analyzed in detail in this paper. The range profiles of radar target are recognized by the kernel-based methods. The results of the simulation on three radar target show that SVMs is more effective than nonPCA and nonLDA, and a sound explanation for the results is given too.
  • loading
  • 边肇祺,张学工,等.模式识别(第二版).北京:清华大学出版社,2000,第十三章.[2]田盛丰.基于核函数的学习算法.北方交通大学学报,2003,27(2):1-8.[3]周代英.雷达目标一维距离像识别研究,[博士论文],成都:电子科技大学,2001,第一,二章.[4]Vapnik N. The Nature of Statistical Learning Theory. New York:Springer Verlag, 1995:1 - 188.[5]Scholkopf B, Smola A, Mtller K R. Nolinear component analysis as a kernel eigenvalue problem[J].Neural Computation.1998,10(5):1299-[6]Sebastian Mika.[J].Gunnar Ratsch, Jason Weston, Scholkopf B, Mller K R. Fisher discriminant analysis with kernels. Neural Networks for Signal Processing IX. New York: IEEE Press.1999,:-[7]Xu J H, Zhang X G, Ci Y D. Kernel neuron and its training algorithm. In: Proc. of 8thICNIP2001, Shanghai, P.R.China, 2001,2:861 - 866.[8]Osuna E.[J].Freund R, Girosi F. Training support vector machines,an application to face detection. In: Proc.of CVPR97, Puerto Rico.1997,:-[9]Sakano H, Mukawa N. Kernel mutual subspace method for robust facial image recognition. In: Proc. of 4th KES, Brighton, UK,2000, vol.1: 245 - 248.[10]Joachims T. Text categorization with support vector machines:learning with many relevant features. In: Proc. of the European Conf. on Machine Learning. Berlin, 1998:137 - 142.[11]Zien A, Ratsh G, Mika S, et al.. Engineering support vector machine kernels that recognize translation initiation sites in DNA[J].Bioinformatics.2000, 16(9):799-[12]张莉,周伟达,焦李成.用于一维图像识别的支撑向量机方法.红外与毫米波学报,2002,21(2):119-123.[13]李映,焦李成.基于核Fisher判别分析的目标识别.西安电子科技大学学报(自然科学版),2003,30(2):179-182.
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Article Metrics

    Article views (2323) PDF downloads(779) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return