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基于遥感数据的中尺度海洋锋面及涡旋提取方法分析
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摘要
中尺度海洋锋及涡旋均是重要的中尺度海洋环境特征。中尺度海洋锋及涡旋的提取及其时空分布、变化的研究对海洋生态系统的研究、渔业资源评估、渔情预报等都有重要意义。遥感数据具有优良的连续性、同步性,因此遥感数据被广泛应用于中尺度海洋锋及涡旋提取的研究中。本文对利用遥感数据进行中尺度海洋锋面提取的梯度法、Canny算法、小波分析法和基于引力模型法,以及涡旋的提取的OW法、WA法、无阈值等值线法和HD法进行总结和对比分析,并提出对中尺度海洋锋面及涡旋提取方法的见解及新思路。认为阈值的选取是锋面和涡旋提取的难点。此外梯度法和Canny算法在其设计之初均是用于对强边缘的提取,而海洋水文要素在卫星影像中呈弱边缘的特征,因此梯度法和Canny算法并不一定适用于弱边缘的提取。因此希望在今后的研究中找到一种新的适用于海洋的锋面提取方法。
The mesoscale ocean front and eddy are both important mesoscale Marine environment characteristics. The research on the extraction of the mesoscale ocean fronts and eddies is significant to research about marine ecosystem, fisheries stock assessment and fishing condition forecast. The remote sensing data is excellent in continuity and synchronization, thus remote sensing data has been widely used in the extraction of mesoscale ocean fronts and eddies. In this paper, the methods of fronts extraction such as gradient method, Canny algorithm, wavelet analysis method and gravity model-based algorithm, the methods of eddies extraction such as OW method, WA method, SSH-based method and HD method were summarized and analysed. Then put forward insights and new ideas. Threshold choice is the difficulty on fronts and eddies extraction. In addition, gradient method and Canny algorithm were designed for strong edge rather than Weak edge of ocean hydrologic feature, thus these may not applicable for ocean fronts extraction. Therefore, hope to find a new method for ocean fronts extraction in the future research.
引文

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