Abstract
In ISAR imaging, it is likely that multiple observed targets are so close to each other that there may be two or more targets located in the same radar antenna beam. Since the movements of varied targets may not be the same, using the imaging algorithm for single target will blur the image. Isolating these targets and imaging them separately is a good way to solve this problem. In this paper, a method of ISAR imaging for multiple targets based on image segmentation is proposed. The relative techniques, which are the Maximum Between-Cluster Variance method and the K-means Clustering algorithm, are applied to extract and isolate the varied targets. Through the simulation experiment, focused and high-resolution ISAR images of multiple targets are generated.
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