Extraction of target three-dimensional scattering centers from multiaspect synthetic aperture radar data at different azimuths and elevations

Jinrong Zhong; Gongjian Wen

doi:10.1117/1.JRS.9.095069

20 July 2015 Extraction of target three-dimensional scattering centers from multiaspect synthetic aperture radar data at different azimuths and elevations

Jinrong Zhong, Gongjian Wen

Author Affiliations +

Journal of Applied Remote Sensing, Vol. 9, Issue 1, 095069 (July 2015). https://doi.org/10.1117/1.JRS.9.095069

Abstract

Additional information provided by three-dimensional (3-D) scattering centers (SCs) is useful in automatic target recognition (ATR). An approach is proposed for 3-D SC extraction from multiple-resolution synthetic aperture radar (SAR) measurements at arbitrary azimuths and elevations. This approach consists of a feature-level extraction and a signal-level optimization. In the feature-level extraction, two-dimensional (2-D) SCs are first extracted at each aspect, then 3-D SCs are coarsely generated from these 2-D SCs by a clustering method. This clustering method contains a particular distance equation and an ingenious clustering strategy which is developed based on some basic properties of scattering physics and the geometric transformation of 3-D SCs and 2-D SCs. Exploiting the sparsity of SCs in the feature domain, such a method efficiently extracts 3-D SCs. In the signal-level optimization, 3-D SC parameters are directly re-estimated using the measurement data. This improves the precision of 3-D SC parameters and provides reliable reconstructions. Finally, the experimental results of data generated by the GTD model and the high-frequency electromagnetic magnetism code exhibit the effectiveness of the proposed approach. In addition, we apply our approach to multiple-pass circle SAR. The reconstructed 3-D SCs exactly depict the shape of the target.

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Jinrong Zhong and Gongjian Wen "Extraction of target three-dimensional scattering centers from multiaspect synthetic aperture radar data at different azimuths and elevations," Journal of Applied Remote Sensing 9(1), 095069 (20 July 2015). https://doi.org/10.1117/1.JRS.9.095069

Published: 20 July 2015

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