Radar HRR profiles recognition based on SVM with power-transformed- correlation kernel

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3173, Issue , 2004, Pages 531-536

  Liu, Hongwei ^a   Bao, Zheng ^a  

^a XIDIAN UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATIC TARGET RECOGNITION; RADAR; RADAR TARGET RECOGNITION;

CLASSIFICATION PERFORMANCE; CORRELATION KERNEL; KERNEL FUNCTION; MAXIMUM CORRELATION COEFFICIENT CLASSIFIERS; PHYSICAL MECHANISM; RADAR AUTOMATIC TARGET RECOGNITION; SVM CLASSIFIERS;

SUPPORT VECTOR MACHINES;

EID: 24944467419     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-28647-9_88     Document Type: Article

References (7)

1. Li ,H. J., Yang, S. H.: Using Range Profiles as Feature Vectors to Identify Aerospace Objects. IEEE Trans. Antennas and Propagation, Vol.41, No.3 (1993) 261-268
2. Li, H. J., Wang, Y. D., Wang L. H.: Matching Score Properties Between Range Profile of High-Resolution Radar Targets. IEEE Trans. Antennas and Propagation (1996) 444-452
3. Liao, X., Bao, Z., Xing, M.: On the Aspect Sensitivity of High Resolution Range Profiles and Its Reduction Methods, IEEE International Radar Conference (2000) 310-315
4. Williams, R., Westerkamp, J., et al.: Automatic Target Recognition of Time Critical Moving Targets Using ID High Range Resolution (HRR) Radar, IEEE AES Magazine (2000) 37-43
5. Mitchell, R.A., Westerkamp, J.J.: Robust Statistical Feature Based Aircraft Identification, IEEE Trans. Aerospace and Electronic Systems (1999) 1077-1094
6. Heiden, R., Groen, F. C. A.: The Box-Cox Metric for Nearest Neighbour Classification Improvement, Pattern Recognition (1997) 273-279
7. Burges, C.: A Tutorial on Support Vector Machines for Pattern Recognition, Data Mining and Knowledge Discovery, Vol.2 (1998)121-167