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首页> 外文期刊>IEEE Transactions on Geoscience and Remote Sensing >Decomposing Infrared Images of Wind Waves for Quantitative Separation Into Characteristic Flow Processes
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Decomposing Infrared Images of Wind Waves for Quantitative Separation Into Characteristic Flow Processes

机译：将风波的红外图像分解为定量分离成特征流过程

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摘要

An image processing method utilizing multi-dimensional empirical mode decomposition is developed to decompose wind-wave surface imageries attributed to various flow processes governing interfacial transport, including gravity waves, capillary ripples, Langmuir cells, and quasi-streamwise turbulent eddies. The decomposition and combination strategies are based on the characteristic length scales and directionalities of the signatures induced by the flow processes. The decomposed imagery thus provides quantification of the contribution partition to the interfacial signatures by individual flow processes. Analyses of infrared images taken in the wind wave facility Aeolotron at Heidelberg University reveal: quasi-streamwise eddies, which arise from the turbulent shear layer, dominate the contribution to interfacial signatures at low wind speeds. For nonbreaking waves at intermediate wind speeds, the contribution partitions to interfacial signatures by the four flow processes are of the same order of magnitude. For microscale breaking waves, the dominant contribution is attributed to boundary layer disruption in the wake of spilling breakers. For breaking waves at high wind speeds, transverse turbulent eddies, which induce similar surface signatures as those by capillary ripples, and streamwise vortices caused by breaking also contribute to the transport; the decomposed imageries are thus induced by multiple flow processes.
机译：开发了一种利用多维经验模式分解的图像处理方法，以分解归因于控制界面传输的各种流动过程的风波表面图像，包括重力波，毛细管波纹，朗缪尔细胞和准流湍流涡流。分解和组合策略基于流动过程引起的特征长度尺度和签名的方向性。因此，分解的图像通过各个流程提供了对界面特征的贡献分区的量化。对海德堡大学风波设备Aeolotron拍摄的红外图像的分析表明：湍流剪切层产生的准流涡流在低风速下占界面特征的主导地位。对于中等风速下的不间断波浪，四个流动过程对界面特征的贡献分区具有相同的数量级。对于微尺度的破碎波，主要的作用归因于破碎器溢出后边界层的破坏。为了在高风速下破坏波浪，横向湍流涡流会引起与毛细管波纹相似的表面特征，并且由于破裂而引起的沿流涡流也有助于传输。因此，分解的图像是由多个流动过程引起的。

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