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Wind-induced drift of objects at sea: The leeway field method 总被引:3,自引:0,他引:3
Øyvind Breivik Arthur A. AllenChristophe Maisondieu Jens Christian Roth 《Applied Ocean Research》2011,33(2):100-109
A method for conducting leeway field experiments to establish the drift properties of small objects (0.1-25 m) is described. The objective is to define a standardized and unambiguous procedure for condensing the drift properties down to a set of coefficients that may be incorporated into existing stochastic trajectory forecast models for drifting objects of concern to search and rescue operations and other activities involving vessels lost at sea such as containers with hazardous material.An operational definition of the slip or wind and wave-induced motion of a drifting object relative to the ambient current is proposed. This definition taken together with a strict adherence to a 10 m wind speed allows us to refer unambiguously to the leeway of a drifting object. We recommend that all objects if possible be studied using what we term the direct method, where the object’s leeway is studied directly using an attached current meter.We establish a minimum set of parameters that should be estimated for a drifting object for it to be included in the operational forecast models used for prediction of search areas for drifting objects.We divide drifting objects into four categories, depending on their size. For the smaller objects (less than 0.5 m), an indirect method of measuring the object’s motion relative to the ambient current must be used. For larger objects, direct measurement of the motion through the near-surface water masses is strongly recommended. Larger objects are categorized according to the ability to attach current meters and wind monitoring systems to them.The leeway field method proposed here is illustrated with results from field work where three objects were studied in their distress configuration; a 1:3.3 sized model of a 40-foot Shipping container, a World War II mine and a 220 l (55-gallon) oil drum. 相似文献
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A study of SAR remote sensing of internal solitary waves in the north of the South China Sea:I.Simulation of internal tide transformation 总被引:1,自引:1,他引:1
For settlement of the well-known problem of contemporary radar imaging models,i.e.,the pmblem of a general underestimation of radar signatures of hydrodynamic features over oceanic internal waves and underwater bottom topography in tidal watels at at high radar frequency bands(X-band and C-band),the impact of the ocean surface mixed layer turbulence and the significance of strat-ified oceanic model on SAR remote sensing of internal solitary waves are proposed.In the north of the South China Sea by utilizing seme observed data of background field the nonlinearity coefficient,the dispersion coefficient,the horizontal variability coefficient and the phase speed in the generalized K-dV equation are determined approximately.Through simulations of internal tide transfor-mation the temporal evolution and spatial distribution of the vertical displacement and horizontal velocity of intereal wave field are obtained.The simulation results indicate that the maximum amplitudes of internal solitary waves occur at depth 35 m,but the maximum current speeds take place at depth 20 m in this area of the sea(about 20°30'N,114°E)in August.It was noticed that considering the effects of flood current and ebb current respectively is appropriate to investigate influence of the background shear flow on coefficients of the K-dV equation.The obtained results provide the possibility for the simulation of SAR signatures of inter-nal solitary waves under considering the impact of ocean surface mixed layer turbulence in the companion paper. 相似文献
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提出了一种基于偏微分方程与增强Lee滤波级联算法的SAR图像相干斑抑制方法,利用偏微分方程的边界检测特性和增强Lee滤波方法的分区域处理特性,在保持图像细节的基础上有效抑制图像中的相干斑噪声。 相似文献
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极化SAR干涉测量模拟研究 总被引:2,自引:0,他引:2
极化SAR干涉测量将极化测量技术和干涉测量技术巧妙地结合,能够提高干涉测量精度,尤其是在植被覆盖的情况下,不仅能够测量地表地形,而且使得估计植被高度成为可能。因此,近几年来国际上对极化SAR干涉测量技术的研究越来越重视,极化SAR干涉测量已成为SAR应用技术发展的重要方向。通过模拟技术深入研究极化SAR干涉测量理论和方法,并提出了一种新的极化SAR干涉测量改进算法,模拟实验结果表明,该算法可以进一步提高测量精度。 相似文献
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SAR图像对地定位的严密共线方程模型 总被引:3,自引:0,他引:3
SAR图像对地定位是解决SAR遥感信息在哪里的根本问题,它是遥感应用和处理的重要步骤。作者在分析现有几种SAR图像对地定位模型的基础上,根据SAR成像的严格几何关系导出SAR图像对地定位的严密共线方程模型。首先根据斜距图像的近地点斜距和远地点斜距推导中心投影等效焦距的计算公式,然后详细推导并给出斜距图像转化成严密中心投影图像时涉及的图像改化公式,最后根据实际星载SAR图像定位的精度对比,证明严密共线方程模型是可行的,而且其定位精度要明显优于传统的近似共线方程模型。 相似文献
109.
基于小波变换和HIS变换的海冰SAR与光学遥感影像融合方法研究 总被引:1,自引:2,他引:1
Sea ice as a disaster has recently attracted a great deal of attention in China. Its monitoring has become a routine task for the maritime sector. Remote sensing, which depends mainly on SAR and optical sensors, has become the primary means for sea-ice research. Optical images contain abundant sea-ice multi-spectral information, whereas SAR images contain rich sea-ice texture information. If the characteristic advantages of SAR and optical images could be combined for sea-ice study, the ability of sea-ice monitoring would be improved. In this study, in accordance with the characteristics of sea-ice SAR and optical images, the transformation and fusion methods for these images were chosen. Also, a fusion method of optical and SAR images was proposed in order to improve sea-ice identification. Texture information can play an important role in sea-ice classification. Haar wavelet transformation was found to be suitable for the sea-ice SAR images, and the texture information of the sea-ice SAR image from Advanced Synthetic Aperture Radar(ASAR) loaded on ENVISAT was documented. The results of our studies showed that, the optical images in the hue-intensity-saturation(HIS) space could reflect the spectral characteristics of the sea-ice types more efficiently than in the red-green-blue(RGB) space, and the optical image from the China-Brazil Earth Resources Satellite(CBERS-02B) was transferred from the RGB space to the HIS space. The principal component analysis(PCA) method could potentially contain the maximum information of the sea-ice images by fusing the HIS and texture images. The fusion image was obtained by a PCA method, which included the advantages of both the sea-ice SAR image and the optical image. To validate the fusion method, three methods were used to evaluate the fused image, i.e., objective, subjective, and comprehensive evaluations. It was concluded that the fusion method proposed could improve the ability of image interpretation and sea-ice identification. 相似文献
110.