Paper
12 September 2003 A signature correlation study of ground target VHF/UHF ISAR imagery
Andrew J. Gatesman, Christopher J. Beaudoin, Robert H. Giles, William T. Kersey, Jerry Waldman, Steve Carter, William E. Nixon
Author Affiliations +
Abstract
VV and HH-polarized radar signatures of several ground targets were acquired in the VHF/UHF band (171-342 MHz) by using 1/35th scale models and an indoor radar range operating from 6 to 12 GHz. Data were processed into medianized radar cross sections as well as focused, ISAR imagery. Measurement validation was confirmed by comparing the radar cross section of a test object with a method of moments radar cross section prediction code. The signatures of several vehicles from three vehicle classes (tanks, trunks, and TELs) were measured and a signature cross-correlation study was performed. The VHF/UHF band is currently being exploited for its foliage penetration ability, however, the coarse image resolution which results from the relatively long radar wavelengths suggests a more challenging target recognition problem. One of the study's goals was to determine the amount of unique signature content in VHF/UHF ISAR imagery of military ground vehicles. Open-field signatures are compared with each other as well as with simplified shapes of similar size. Signatures were also acquired on one vehicle in a variety of configurations to determine the impact of monitor target variations on the signature content at these frequencies.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Andrew J. Gatesman, Christopher J. Beaudoin, Robert H. Giles, William T. Kersey, Jerry Waldman, Steve Carter, and William E. Nixon "A signature correlation study of ground target VHF/UHF ISAR imagery", Proc. SPIE 5095, Algorithms for Synthetic Aperture Radar Imagery X, (12 September 2003); https://doi.org/10.1117/12.487009
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Cited by 3 scholarly publications.
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KEYWORDS
Radar

Target acquisition

Calibration

Image processing

Image resolution

Aluminum

Automatic target recognition

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