利用高频后向散射技术遥感沙波

D. Tang, K. Williams, E.I. Thoros, K. Briggs
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引用次数: 6

摘要

了解波纹的结构,如波纹的高度和空间波长,是利用纹波散射检测地埋目标的关键。在本文中,来自300 khz系统的后向散射数据表明,可以从后向散射图像估计纹波波长和高度。受后向散射数据的启发,我们建立了一个时域数值模型来模拟高频声波在波纹场中的散射。该模型将小尺度散射体视为随机分布在大尺度纹波场上的朗伯散射体。我们发现这种方法很好地描述了现场数据。通过数值模拟研究了遥感测底波高度和波长的可能性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Remote sensing of sand ripples using high-frequency backscatter
It is critical for buried target detection via ripple scattering to know the ripple structure, e.g., the ripple height and spatial wavelength. In the present paper, backscattering data from a 300-kHz system show that ripple wavelength and height can potentially be estimated from backscattering images. Motivated by the backscatter data, we have developed a time-domain numerical model to simulate scattering of high-frequency sound by a ripple field. This model treats small-scale scatterers as Lambertian scatterers distributed randomly on the large-scale ripple field. We have found that this approach characterizes the field data well. Numerical simulations are conducted to investigate the possibility of remotely sensing bottom ripple heights and wavelength.
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