Classification of ISAR Images Using Variable Cross-Range Resolutions

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 ca...

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Bibliographic Details
Published in:IEEE transactions on aerospace and electronic systems 2018-10, Vol.54 (5), p.2291-2303
Main Authors: Lee, Seung-Jae, Lee, Myung-Jun, Kim, Kyung-Tae, Bae, Ji-Hoon
Format: Article
Language:English
Subjects:
Bandwidth
Classification
Cross-range scaling (CRS)
Image classification
Image resolution
Inverse synthetic aperture radar
inverse synthetic aperture radar (ISAR) image
Radar imaging
radar signal processing
target classification
Task analysis
Training
Two dimensional displays
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Summary: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.
ISSN:0018-9251
1557-9603
DOI:10.1109/TAES.2018.2814211