基于深度学习的机场大雾天气预警方法研究现状
Research on Airport Warning Methods of Heavy Fog Based on Deep Learning
DOI: 10.12677/CSA.2020.107141, PDF,  被引量   
作者: 李 伟：四川航空股份有限公司工程技术分公司，四川 成都；成都信息工程大学计算机学院，四川 成都；魏 敏：成都信息工程大学计算机学院，四川 成都；郭忠立：民航西南地区空中交通管理局，四川 成都
关键词: 机场大雾；监测预警；深度学习；Heavy Fog； Monitoring and Forecasting； Deep Learning
摘要: 雾是影响能见度的一种重要天气现象，尤其是与民航航班的起降息息相关，机场大雾天气的准确预报对民航业的生产具有极其重要的作用。大雾天气预报的必要性和准确性是降低意外事故的一个重要因素。深度学习技术在图像分类识别的各种任务中起着重要作用，充分利用深度神经网路模型的特征表达能力来提高分类和预测的精度，是大雾天气监测预报方面的一大突破。
Abstract: Heavy fog is an important weather phenomenon affecting visibility. It is closely related to the take-off and landing of civil aviation flights. It plays an important role in reducing air accidents for accurate forecasting of fog weather. Deep learning has made great achievements in image classification and recognition. It is the research on monitoring and prediction of heavy fog, making full use of the feature to improve the accuracy of classification and prediction.
文章引用：李伟, 魏敏, 郭忠立. 基于深度学习的机场大雾天气预警方法研究现状[J]. 计算机科学与应用, 2020, 10(7): 1367-1372. https://doi.org/10.12677/CSA.2020.107141

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