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Radar characterization of ship wake signatures and ambient ocean clutter features

机译:雷达雷达的船舶尾迹特征和周围海洋杂波特征

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摘要

Characteristics of ship wakes and ambient ocean features in synthetic-aperture radar (SAR) and coherent real-aperture radar (RAR) images are studied, and two algorithms are evaluated to assess the value of using wakes for detecting and classifying ships. Empirical models of SAR ship-wake signatures, derived from measurements of wakes in L-band SAR images from SIR-B, are incorporated in the detection algorithms. To further study wake and ambient characteristics, data from a land-based X-band coherent RAR (which overlooks the ocean) are processed to obtain ocean surface Doppler velocities as a function of range and time. Line-of-sight orbital currents of ocean waves are easily detected, and the power in the velocity-field spectrum is concentrated on the dispersion curve for free-surface gravity waves. Cuts taken along this curve produce quantitative wave spectra for the study of ocean surface features and ship-induced wake modifications of the surface.
机译:研究了合成孔径雷达(SAR)和相干真实孔径雷达(RAR)图像中船舶尾迹的特征和周围海洋特征,并评估了两种算法来评估使用尾迹进行船舶检测和分类的价值。从SIR-B的L波段SAR图像中的尾迹测量得出的SAR船舶尾迹特征的经验模型已纳入检测算法。为了进一步研究尾流和周围环境特征,对来自陆基X波段相干RAR(俯瞰海洋)的数据进行处理,以获得海浪多普勒速度随距离和时间的变化。很容易检测到海浪的视线轨道流,并且速度场谱中的功率集中在自由表面重力波的色散曲线上。沿着这条曲线进行的切割会产生定量的波谱,用于研究海洋表面特征和船舶引起的表面唤醒变化。

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