Publikationsdatum:
2015-09-29
Beschreibung:
This paper proposes an efficient method to classify inverse synthetic aperture radar (ISAR) images. The proposed method achieves invariance to translation and rotation of ISAR images by using two-dimensional (2D) Fourier transform (FT) of ISAR images, polar mapping of the 2D FT image, and a simple nearest-neighbor classifier. In simulations using ISAR images measured in a compact range, the proposed method yielded high classification ratios with small-sized data regardless of the location of the rotation center, whereas the existing method was very sensitive to the location of it.
Print ISSN:
0018-9251
Digitale ISSN:
1557-9603
Thema:
Elektrotechnik, Elektronik, Nachrichtentechnik
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Maschinenbau