10 April 2018 Visual analysis of tropical cyclone trajectory prediction
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Proceedings Volume 10615, Ninth International Conference on Graphic and Image Processing (ICGIP 2017); 106155H (2018) https://doi.org/10.1117/12.2302802
Event: Ninth International Conference on Graphic and Image Processing, 2017, Qingdao, China
Abstract
In this paper, we propose a visual interactive analysis approach for tropical cyclone trajectory prediction based on the support vector machine (SVM) regression method. We design a visual analysis interface that supports training data selection, model parameters adjustment and the visual assessment of model quality. This visual analysis approach can facilitate the prediction process and enable users to predict tropical cyclone trajectory easily. A case study with real data demonstrates the effectiveness of our approach.
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Cui Xie, Cui Xie, Hao Yang, Hao Yang, Guangxiao Ma, Guangxiao Ma, Junyu Dong, Junyu Dong, } "Visual analysis of tropical cyclone trajectory prediction", Proc. SPIE 10615, Ninth International Conference on Graphic and Image Processing (ICGIP 2017), 106155H (10 April 2018); doi: 10.1117/12.2302802; https://doi.org/10.1117/12.2302802
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