Study on Recognition Method of Similar Weather Scenes in Terminal Area  

作　　者：Ligang Yuan Jiazhi Jin Yan Xu Ningning Zhang Bing Zhang 

机构地区：[1]College of Civil Aviation,Nanjing University of Aeronautics and Astronautics,Nanjing,211106,China [2]School of Aerospace,Transport and Manufacturing,Cranfield University,Bedford,MK430AL,United Kingdom [3]Travelsky Technology Limited,Beijing,100010,China [4]College of Computer Science and Technology,Nanjing University of Aeronautics and Astronautics,Nanjing,211106,China

出　　处：《Computer Systems Science & Engineering》2023年第2期1171-1185,共15页计算机系统科学与工程（英文）

基　　金：supported by the Fundamental Research Funds for the CentralUniversities under Grant NS2020045. Y.L.G received the grant.

摘　　要：Weather is a key factor affecting the control of air traffic.Accurate recognition and classification of similar weather scenes in the terminal area is helpful for rapid decision-making in air trafficflow management.Current researches mostly use traditional machine learning methods to extract features of weather scenes,and clustering algorithms to divide similar scenes.Inspired by the excellent performance of deep learning in image recognition,this paper proposes a terminal area similar weather scene classification method based on improved deep convolution embedded clustering(IDCEC),which uses the com-bination of the encoding layer and the decoding layer to reduce the dimensionality of the weather image,retaining useful information to the greatest extent,and then uses the combination of the pre-trained encoding layer and the clustering layer to train the clustering model of the similar scenes in the terminal area.Finally,term-inal area of Guangzhou Airport is selected as the research object,the method pro-posed in this article is used to classify historical weather data in similar scenes,and the performance is compared with other state-of-the-art methods.The experi-mental results show that the proposed IDCEC method can identify similar scenes more accurately based on the spatial distribution characteristics and severity of weather;at the same time,compared with the actualflight volume in the Guangz-hou terminal area,IDCEC's recognition results of similar weather scenes are con-sistent with the recognition of experts in thefield.

关 键 词：Air traffic terminal area similar scenes deep embedding clustering 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]