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首页> 外文期刊>Geoscience and Remote Sensing Letters, IEEE >Fuzzy Logic Applied to Track Generation Areas of Swell Systems Observed by SAR
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Fuzzy Logic Applied to Track Generation Areas of Swell Systems Observed by SAR

机译：SAR观测的膨胀系统产生区域的模糊逻辑跟踪。

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摘要

Recently, with the availability of a great number of synthetic aperture radar (SAR) wave mode spectra, it has been possible to derive a set of great circle lines of swell propagation whose intersection points indicate the position of the storm generating the observed swell field. However, due to the inherent limitations of SAR spectra, the locus of convergence of great circle of swell propagation can be sometimes diffuse or contain multiple convergence regions. In this letter, we adapted the fuzzy cluster logic method to identify the regions of convergence of SAR wave field rays. The analysis of the results of the fuzzy algorithm clearly indicates the ability of this statistical method to identify the cluster center region of swell fields observed in SAR wave mode images. The measure of success of the method was how well the generation center of the swell could be traced back to an existing strong storm system.
机译：近来，随着大量合成孔径雷达（SAR）波模式频谱的可用性，已经可以导出一组大的膨胀传播圆线，其交点指示产生观测到的膨胀场的风暴的位置。但是，由于SAR光谱的固有局限性，膨胀传播大圆的会聚轨迹有时会散布或包含多个会聚区域。在这封信中，我们采用了模糊聚类逻辑方法来识别SAR波场射线的会聚区域。对模糊算法结果的分析清楚地表明了这种统计方法能够识别在SAR波模式图像中观察到的膨胀场的聚类中心区域的能力。该方法成功的衡量标准是，可以将涌流的生成中心追溯到现有的强风暴系统的程度。

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