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911.
海面粗糙度对于海洋工程和海洋军事都非常重要,但对海面粗糙度的现场观测资料非常少, 这大大制约了对海面粗糙度的认识。利用 TOPEX 高度计风速资料实现了对海面粗糙度的反演,并利用 1993 年和1998 年两年的资料对西北太平洋海域的海面粗糙度进行了研究。 相似文献
912.
基于旋翼无人机雷达的船只目标成像与类型识别研究进展综述 总被引:1,自引:0,他引:1
载有成像雷达的旋翼无人机具有成本低廉、对起降条件要求低、飞行姿态灵活多样等优点,可以在热点区域进行普查、详查或长时间悬停凝视等多模式成像监测,现已成为海上船只目标监测识别的重要手段。本文分别从旋翼无人机雷达硬件系统、无人机载雷达动目标成像、船只目标类型识别和目标三维结构特征提取等四方面开展国内外研究进展综述。总结分析发现当前利用旋翼无人机雷达进行船只目标成像和类型识别,尚存在运动船只成像散焦、三维结构重建难度大、类型识别精度低等问题,迫切需要推动相关技术的发展。 相似文献
913.
In this paper, without recourse to the nonlinear dynamical equations of the waves, the nonlinear random waves are retrieved from the non-Gaussian characteristic of the sea surface elevation distribution. The question of coincidence of the nonlinear wave profile, spectrum and its distributions of maximum (or minimum) values of the sea surface elevation with results derived from some existing nonlinear theories is expounded under the narrow-band spectrum condition. Taking the shoaling sea wave as an example, the nonlinear random wave process and its spectrum in shallow water are retrieved from both the non-Gaussian characteristics of the sea surface elevation distribution in shallow water and the normal sea waves in deep water and compared with the values actually measured. Results show that they can coincide with the actually measured values quite well, thus, this can confirm that the method proposed in this paper is feasible. 相似文献
914.
915.
A new method for estimating significant wave height(SWH) from advanced synthetic aperture radar(ASAR) wave mode data based on a support vector machine(SVM) regression model is presented. The model is established based on a nonlinear relationship between σ0, the variance of the normalized SAR image, SAR image spectrum spectral decomposition parameters and ocean wave SWH. The feature parameters of the SAR images are the input parameters of the SVM regression model, and the SWH provided by the European Centre for Medium-range Weather Forecasts(ECMWF) is the output parameter. On the basis of ASAR matching data set, a particle swarm optimization(PSO) algorithm is used to optimize the input kernel parameters of the SVM regression model and to establish the SVM model. The SWH estimation results yielded by this model are compared with the ECMWF reanalysis data and the buoy data. The RMSE values of the SWH are 0.34 and 0.48 m, and the correlation coefficient is 0.94 and 0.81, respectively. The results show that the SVM regression model is an effective method for estimating the SWH from the SAR data. The advantage of this model is that SAR data may serve as an independent data source for retrieving the SWH, which can avoid the complicated solution process associated with wave spectra. 相似文献
916.
917.
道路验收工作中,厚度、压实度等工程参数常常是验收工作中的重要指标,基于探地雷达的道路工程质量检测技术在土地整治项目区的道路验收中可以达到无损、快速和准确。研究采用pulse EKKO PRO 1000型探地雷达,使用剖面法对道路工程混凝土路面进行雷达探测,结合现场钻孔取心进行电磁波速度修正,经过校正、增益、背景去噪、反褶积等多项预处理,有效抑制噪声,提高分辨力,最后根据相应的电磁波传播速度值完成厚度分析工作,获得不同设计标准的道路工程面层与基层的厚度结构与路面的均匀度情况。结果表明,探地雷达对道路厚度结构探测最大相对误差不超过1.43%,标准差介于0.08~0.66之间,可见其准确度超越了传统方法,精度可靠;经处理后雷达图像清晰,可同步了解道路面层与基层的介质均匀度情况,其中面层厚度起伏不大,个别路段基层压实不充分,厚度不均。符合设计标准与验收要求,为土地整治道路工程的验收与质量评价工作提供有效的帮助。 相似文献
918.
Measuring snow ablation rates in alpine terrain with a mobile multioffset ground‐penetrating radar system 下载免费PDF全文
Ground‐penetrating radar (GPR) has become a promising technique in the field of snow hydrological research. It is commonly used to measure snow depth, density, and water equivalent over large distances or along gridded snow courses. Having built and tested a mobile lightweight set‐up, we demonstrate that GPR is capable of accurately measuring snow ablation rates in complex alpine terrain. Our set‐up was optimized for efficient measurements and consisted of a multioffset radar with four pairs of antennas mounted to a plastic sled, which was small enough to permit safe and convenient operations. Repeated measurements at intervals of 2 to 7 days were taken during the 2014/2015 winter season along 10 profiles of 50 to 200 m length within two valleys located in the eastern Swiss Alps. Resulting GPR‐based data of snow depth, density, and water equivalent, as well as their respective change over time, were in good agreement with concurrent manual measurements, in particular if accurate alignment between repeated overpasses could be achieved. Corresponding root‐mean‐square error (RMSE) values amounted to 4.2 cm for snow depth, 17 mm for snow water equivalent, and 22 kg/m3 for snow density, with similar RMSE values for corresponding differential data. With this performance, the presented radar set‐up has the potential to provide exciting new and extensive datasets to validate snowmelt models or to complement lidar‐based snow surveys. 相似文献
919.
采用VAP(Velocity Azimuth Processing)方法反演多普勒雷达风矢量场,在利用各个距离圈径向速度随方位角分布的廓线推算风向和风速的设计中,要求基数据速度资料中没有明显的脉动.介绍了在多普勒天气雷达风场反演设计中,直接将方格法的速度资料处理过程融入到方格法风场反演的过程中,利用距离方格内保持中尺度特性的特点,不改变原始资料的同时保证风场反演的正确性. 相似文献
920.