摘要
This paper presents a newmulti-targets inverse synthetic aperture radar (ISAR) imaging approach via the image segmentation processing. This method can separate multi-targets with similar velocities,and there is no strict limit on the rotational state of the targets. Firstly,the motion compensation for the completely multi-targets echo is carried out and the coarse image can be achieved with the Range-Doppler (RD) technique. Then a series of image processing methods and image segmentation processing are used to separate the echo data of each mono-target. At last,the image with high quality of each target can be achieved with the RD technique and the Range-Instantaneous-Doppler (RID) technique. ISAR imaging results of simulated and measured data validate the validity of the proposed approach.
This paper presents a new multi-targets inverse synthetic aperture radar （ISAR） imaging approachvia the image segmentation processing. This method can separate multi-targets with similar velocities, and there is no strict limit on the rotational state of the targets. Firstly, the motion compensation for thecompletely multi-targets echo is carried out and the coarse image can be achieved with the Range-Doppler（RD） technique. Then a series of image processing methods and image segmentation processing are used to separate the echo data of each mono-target. At last, the image with high quality of each target can beachieved with the RD technique and the Range-Instantaneous-Doppler （ RID） technique. ISAR imaging results of simulated and measured data validate the validity of the proposed approach.
基金
Sponsored by the National Natural Science Foundation of China(Grant No.61622107)
