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Classification of ISAR Images Using Variable Cross-Range Resolutions | IEEE Journals & Magazine | IEEE Xplore

Classification of ISAR Images Using Variable Cross-Range Resolutions


Abstract:

In this study, we propose an efficient strategy to exploit cross-range resolutions (CRRs) of inverse synthetic aperture radar (ISAR) images to improve classification perf...Show More

Abstract:

In this study, we propose an efficient strategy to exploit cross-range resolutions (CRRs) of inverse synthetic aperture radar (ISAR) images to improve classification performance. The proposed method preprocesses an ISAR image of an unknown target using both the CRR of an unknown ISAR image, which can be obtained using the cross-range scaling algorithm, and that of the ISAR images in a training database (DB). Specifically, the proposed method adjusts the unknown ISAR image so that the CRR of the adjusted unknown ISAR image is identical to that of the ISAR images in the training DB. The adjusted unknown ISAR image is then directly used for the subsequent classification task, thus considerably improving classification performance.
Published in: IEEE Transactions on Aerospace and Electronic Systems ( Volume: 54, Issue: 5, October 2018)
Page(s): 2291 - 2303
Date of Publication: 09 March 2018

ISSN Information:


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