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首页> 外文期刊>Geoscience and Remote Sensing Letters, IEEE >Detecting Tropical Cyclone Genesis From Remotely Sensed Infrared Image Data
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Detecting Tropical Cyclone Genesis From Remotely Sensed Infrared Image Data

机译：从遥感红外图像数据中检测热带气旋的成因

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摘要

An objective technique to discriminate developing from nondeveloping cloud clusters during tropical cyclogenesis is described. Since vortices are characterized by high levels of organization or axisymmetry, their detection at early stages of the lifecycle of tropical cyclones makes it possible to determine when they form. To quantify the axisymmetry of a cloud cluster around a predefined radius, a statistical analysis of the orientation of the brightness-temperature gradient is performed. Results show that early detections of axisymmetric structures reliably indicate the cyclone genesis on an average of 0.6 h before an atmospheric disturbance becomes a tropical depression. In addition, the technique shows potential to discriminate nondeveloping from developing cloud clusters. A statistical analysis shows that a true-positive rate of detection of approximately 93% could be achieved with a false-alarm rate of 22%.
机译：描述了一种在热带气旋形成过程中区分非发育云团和非发育云团的客观技术。由于旋涡的特征是高度组织或轴对称，因此在热带气旋生命周期的早期对其进行检测就可以确定旋涡何时形成。为了量化围绕预定半径的云团的轴对称性，对亮度-温度梯度的方向进行统计分析。结果表明，轴对称结构的早期检测结果可靠地表明，在大气扰动变为热带低压之前，旋风平均发生时间为0.6 h。此外，该技术显示出将未开发项目与正在开发的云群集区分开的潜力。统计分析表明，检出误报率为22％，可以实现大约93％的真实检测率。

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