TY - GEN
T1 - Radar target classification based on support vector machines and high resolution range profiles
AU - Kent, S.
AU - Kasapoglu, N. G.
AU - Kartal, M.
PY - 2008
Y1 - 2008
N2 - In this study, the support vector machine (SVM) was used as a classifier to identify aerospace objects. Radar target identification based on High Resolution Range Profiles (HRRPs) received much attention because of its reduced complexity than those using two-dimensional (2-D) ISAR images. Therefore range profiles were used as feature vectors to represent radar data. Data sets which are for training and testing were generated by using a program called radar target backscattering simulation (RTBS) for three different target types. The performance of the SVM was compared with other classification algorithms including statistical classification techniques such as maximum likelihood (ML) and fisher linear likelihood (FLL).
AB - In this study, the support vector machine (SVM) was used as a classifier to identify aerospace objects. Radar target identification based on High Resolution Range Profiles (HRRPs) received much attention because of its reduced complexity than those using two-dimensional (2-D) ISAR images. Therefore range profiles were used as feature vectors to represent radar data. Data sets which are for training and testing were generated by using a program called radar target backscattering simulation (RTBS) for three different target types. The performance of the SVM was compared with other classification algorithms including statistical classification techniques such as maximum likelihood (ML) and fisher linear likelihood (FLL).
KW - High resolution range profile (HRRP)
KW - Support vector machine (SVM)
KW - Target classification
UR - https://www.scopus.com/pages/publications/61849087922
U2 - 10.1109/RADAR.2008.4721107
DO - 10.1109/RADAR.2008.4721107
M3 - Conference contribution
AN - SCOPUS:61849087922
SN - 9781424415397
T3 - 2008 IEEE Radar Conference, RADAR 2008
BT - 2008 IEEE Radar Conference, RADAR 2008
T2 - 2008 IEEE Radar Conference, RADAR 2008
Y2 - 26 May 2008 through 30 May 2008
ER -