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PIER PIER B PIER C PIER M PIER Letters
2013-12-12
Classification of Targets Improved by Fusion of the Range Profile and the Inverse Synthetic Aperture Radar Image
By
In-O Choi,

    Dr. In-O Choi

    Department of Electronic Engineering

    Pukyong National University

    Korea

    Homepage

Joo-Ho Jung,

    Dr. Joo-Ho Jung

    Department of Electronic and Electrical Engineering

    Pohang University of Science and Technology

    Korea

    Homepage

Si-Ho Kim,

    Dr. Si-Ho Kim

    Agency for Defense Development

    Korea

    Homepage

Kyung-Tae Kim,

    Prof. Kyung-Tae Kim

    Department of Electrical Engineering

    Pohang University of Science and Technology

    Korea

    Homepage

Sang-Hong Park

    Prof. Sang-Hong Park

    Department of Electronics Engineering

    Pukyong National University

    Korea

    Homepage

Progress In Electromagnetics Research, Vol. 144, 23-31, 2014
doi:10.2528/PIER13102205 | Google Scholar

Abstract
The range profile (RP) and the inverse synthetic aperture radar (ISAR) image are the useful radar signature for classifying unknown targets because they can be used regardless of day-night and weather conditions. Since classification that uses RP and ISAR is heavily dependent on flight conditions, however, much more study is required on this topic. This paper proposes an efficient method of classifying targets by using a classifier-level fusion of RP and ISAR as well as a scenario-based construction method of the training database. Simulation results using the five targets composed of point scatterers prove that the proposed method yields high classification results when the targets are flying in a variety of directions at both short and long ranges.
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Citation
In-O Choi, Joo-Ho Jung, Si-Ho Kim, Kyung-Tae Kim, and Sang-Hong Park, "Classification of Targets Improved by Fusion of the Range Profile and the Inverse Synthetic Aperture Radar Image," Progress In Electromagnetics Research, Vol. 144, 23-31, 2014.
doi:10.2528/PIER13102205
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