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首页> 外文期刊>IEEE Geoscience and Remote Sensing Letters >A Method for Significant Wave Height Estimation From Circularly Polarized X-Band Coastal Marine Radar Images
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A Method for Significant Wave Height Estimation From Circularly Polarized X-Band Coastal Marine Radar Images

机译：圆极化X波段沿海雷达图像的显着波高估计方法

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Circularly polarized X-band coastal marine radar data have been used to develop the algorithm for estimating significant wave height (H-S) in the Tallinn Bay in the Gulf of Finland directly from radar images. Since sea state in the Tallinn Bay is mainly dominated by slight (WMO-3) windsea, the traditional methods where backscatter intensity variance spectrum is transferred to wave spectrum do not resolve wave height retrievals with sufficient accuracy. In contrast, an empirical method which uses only image spectrum and its parameters has proven to be applicable under these conditions. A wave height retrieval algorithm was developed for the short steep wind sea using image spectrum parameters in addition to Grey level co-occurrence matrix (GLCM) statistics of the radar signal intensity. In total, 1678 collocation pairs from October 18, 2016 to November 14, 2016 were used in the algorithm tuning process. The HS results from radar images were collocated with in situ data from three buoys representing variable meteo-marine conditions. The comparison of radar-derived HS with measured HS shows high agreement with a correlation coefficient r of 0.78 (RMSE-0.23 m) for tuning data set. The method validation with independent data sets from January and June showed high correlation values of 0.82 (RMSE-0.26 m) and 0.89 (RMSE-0.25 m) correspondingly. In case of HS > 0.5 m, the validation resulted in higher correlation (over 0.93) and lower RMSE (from 0.15 to 0.21 m). The spatial variability of wave height from radar imagery is demonstrated based on the commonly occurring north-western storm.
机译：循环偏振X波段沿海雷达数据已被用于直接从雷达图像开发芬兰湾塔林湾的显着波高（H-S）算法。由于塔林湾的海州主要由轻微（WMO-3）风帆模块占主导地位，因此传统的方法转移到波谱的反向散射强度方差谱不会以足够的准确度解析波高检索。相比之下，仅使用图像谱的经验方法及其参数已被证明在这些条件下适用。除了雷达信号强度的灰度共发生矩阵（GLCM）统计数据外，使用图像谱参数为短陡风海而开发了波高检索算法。总共2016年10月18日至2016年11月14日的1678年搭配对在算法调整过程中使用。从代表变量Meteo-Marine条件的三个浮标的雷达图像的HS与原位数据一起搭配。具有测量HS的雷达衍生的HS的比较显示了用于调整数据集的0.78（RMSE-0.23 M）的相关系数R的高一致性。从1月和6月的独立数据集的方法验证显示了0.82（RMSE-0.26米）和0.89（RMSE-0.25米）的高相关值。在HS> 0.5米的情况下，验证导致较高的相关性（超过0.93），更低的RMSE（从0.15到0.21米）。基于常规发生的西北风暴，证明了雷达图像的波浪高度的空间变异。

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