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Mathematical morphological analysis of typical cyclone eyes on ocean SAR

机译：海洋SAR典型气旋眼的数学形态学分析。

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Since synthetic aperture radars (SAR) present unique capabilities of measuring the emitted microwave signal response from the sea surface backscatter, they have been widely using in characterizing hurricanes or tropical cyclones. The distinct advantages of ocean SAR imagery enable marine meteorologists to achieve a deeper understanding of catastrophic hurricanes. This study is focused on shape extraction of tropical cyclones (TC) eye areas by introducing mathematical morphology approaches, morphological skeleton and pruning with the aim of ensuring global and local preservation of the precise shape of the eye. These morphological-based analyses are employed explicitly for three representative ocean SAR images with different TC patterns, acquired from Radarsat-1 and Envisat ASAR. The morphological Euclidean skeleton and pruning is based on discrete curve evolution (DCE), resulting in above 92% agreement with the area of coverage derived from reference data.
机译：由于合成孔径雷达（SAR）具有测量从海面反向散射发射的微波信号响应的独特功能，因此它们已广泛用于表征飓风或热带气旋。海洋SAR影像的独特优势使海洋气象学家能够对灾难性飓风有更深入的了解。这项研究的重点是通过引入数学形态学方法，形态骨架和修剪来提取热带气旋（TC）眼部区域的形状，以确保全局和局部保留精确的眼部形状。这些基于形态学的分析被明确用于从Radarsat-1和Envisat ASAR获得的三个具有不同TC模式的代表性海洋SAR图像。欧氏骨架的形态和修剪是基于离散曲线演化（DCE）进行的，与参考数据得出的覆盖面积的一致性达到92％以上。

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