Efficient construction of training database for identification of aircraft ISAR images

Choi, Gak-Gyu; Han, Seung-Ku; Kim, K.-T.

doi:10.1109/cie-radar.2011.6159593

Cited by 3 publications

(1 citation statement)

References 7 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…[3] . 상기 연구는 표적의 비행 시나리오 내에서 모노스태틱 레이다를 이용해 ISAR 영상을 획득하 여 훈련 DB를 구축하는 기법을 제안하였고, 적은 양의 훈련 DB로도 높은 표적식별 성능을 획득할 수 있음을 보 여주었다.…”

unclassified

Analysis of Target Identification Performances Using Bistatic ISAR Images

Lee¹,

Lee²,

Kang³

et al. 2016

The Journal of Korean Institute of Electromagnetic Engineering

View full text Add to dashboard Cite

Inverse synthetic aperture radar(ISAR) image generated from bistatic radar(Bi-ISAR) represents two-dimensional scattering distribution of a target, and the Bi-ISAR can be used for bistatic target identification. However, Bi-ISAR has large variability in scattering mechanisms depending on bistatic configurations and do not represent exact range-Doppler information of a target due to inherent distortion. Thus, an efficient training DB construction is the most important factor in target identification using Bi-ISARs. Recently, a database construction method based on realistic flight scenarios of a target, which provides a reliable identification performance for the monostatic target identification, was applied to target identification using high resolution range profiles(HRRPs) generated from bistatic radar(BiHRRPs), to construct efficient training DB under bistatic configurations. Consequently, high identification performance was achieved using only small amount of training Bi-HRRPs, when the target is a considerable distance away from the bistatic radar. Thus, flight scenarios based training DB construction is applied to target identification using Bi-ISARs. Then, the capability and efficiency of the method is analyzed.

show abstract

unclassified