FEATURE INFLUENCE ON TARGET CLASSIFICATION PERFORMANCE USING THE HIGH RANGE RESOLUTION PROFILES | ||||
International Conference on Aerospace Sciences and Aviation Technology | ||||
Article 92, Volume 12, ASAT Conference, 29-31 May 2007, May 2007, Page 1-7 PDF (146.73 K) | ||||
Document Type: Original Article | ||||
DOI: 10.21608/asat.2007.24020 | ||||
View on SCiNiTO | ||||
Authors | ||||
Brahim ATROUZ1; Hayet AIT OUAZZOU2; Hocine KIMOUCHE2 | ||||
1Microwave and Radar Laboratory, EMP, BP 17, Bordj El Bahri, Algiers,Tel: 00 213 20 31 43 89 Fax: 00 213 21 86 32 04. | ||||
2Microwave and Radar Laboratory, EMP, BP 17, Bordj El Bahri, Algiers, Tel: 00 213 20 31 43 89 Fax: 00 213 21 86 32 04. | ||||
Abstract | ||||
We propose a supervised classification of aircrafts using the high range resolution profiles extracted from inverse synthetic aperture radar images. The principal components are extracted from pre-processed synthetic radar data before applying the 1-nearest neighbour classification. The classification performances are presented in terms of the correct classification probability. A classification performances comparison is presented for two types of data: The HRR profiles and the principal components of HRR profiles. | ||||
Keywords | ||||
HRR profile; NCTR; ISAR; 1-Nearest Neighbour; PCA; classification | ||||
Statistics Article View: 128 PDF Download: 185 |
||||