基于生成对抗网络的仿真卫星云图生成方法

doi:10.16182/j.issn1004731x.joss.20-0055

系统仿真学报 ›› 2021, Vol. 33 ›› Issue (6): 1297-1306.doi: 10.16182/j.issn1004731x.joss.20-0055

基于生成对抗网络的仿真卫星云图生成方法

程文聪, 史小康, 王志刚

空军研究院,北京 100085

收稿日期:2020-01-19 修回日期:2020-04-21 出版日期:2021-06-18 发布日期:2021-06-23
作者简介:程文聪(1981-),男,博士,高工,研究方向为数据挖掘与气象信息处理。E-mail：emailtocheng@sina.com
基金资助:
高分对地观测专项(GFZX0402180102)

Creating Synthetic Satellite Cloud Data Based on GAN Method

Cheng Wencong, Shi Xiaokang, Wang Zhigang

Air-Force Research Academy, Beijing 100085, China

Received:2020-01-19 Revised:2020-04-21 Online:2021-06-18 Published:2021-06-23

摘要/Abstract

摘要： 针对气象领域中仿真云图生成问题,提出一种基于深度生成对抗网络的仿真卫星云图生成方法。利用深度学习的非线性映射能力和对栅格数据的信息提取能力,选取合适的数值模式产品要素作为输入,建立深度生成对抗模型提取同时次、同区域数值模式产品和卫星云图产品的对应有效信息,再利用提取的信息将数值模式产品重构为卫星云图产品。基于欧洲中期天气预报中心数值模式再分析场产品和风云4A气象卫星产品的实验表明,所提方法可以有效的将数值模式产品重构为卫星云图仿真产品。

关键词: 深度学习, 生成对抗网络, 数值模式产品, 卫星云图, 仿真

Abstract: To create the synthetic satellite cloud data in the domain of Meteorology, a method based on Generative Adversarial Networks (GAN) is proposed. Depending on ability of the nonlinear mapping and the information extraction of raster data with the deep learning network, a deep generative adversarial network model is proposed to extract the corresponding information between the numerical weather prediction(NWP) products and the satellite cloud data, and then the appropriate elements of the NWP product are chosen as the input to synthesize the corresponding satellite cloud data. The experiments are conducted on the re-analysis products of the European Centre for Medium-Range Weather Forecasts (ECMWF) and FY-4A satellite cloud date.The results show that the proposed method is effective to create synthetic satellite cloud data by using the NWP products.

Key words: deep learning, generative adversarial networks, numerical weather prediction products, satellite cloud data, simulation

中图分类号:

TP391.9

程文聪, 史小康, 王志刚. 基于生成对抗网络的仿真卫星云图生成方法[J]. 系统仿真学报, 2021, 33(6): 1297-1306.

Cheng Wencong, Shi Xiaokang, Wang Zhigang. Creating Synthetic Satellite Cloud Data Based on GAN Method[J]. Journal of System Simulation, 2021, 33(6): 1297-1306.

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基于生成对抗网络的仿真卫星云图生成方法

Creating Synthetic Satellite Cloud Data Based on GAN Method

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