基于深度学习的FY3D/MERSI和EOS/MODIS云检测模型研究

doi:10.3969/j.issn.1673-503X.2019.03.011

Abstract

Abstract: Based on deep learning technology,a fully automatic cloud detection algorithm for FY3D/MERSI and EOS/MODIS image is proposed and is firstly introduced in cloud detection study.Using Deep Convolutional Neural Networks as core structure and choosing some appropriate channels as characteristic parameters based on MODIS basic cloud detection theory,classifying and network model training are conducted according to the different scenarios.As a result,cloud detection model based on deep learning is setup and its cloud detection accuracy is over 98% by testing EOS/MODIS and FY3D/MERSI data,indicating that the algorithm can be applied in cloud detection with the characteristics of high efficiency and high accuracy as well as ideal cloud detection effect.

Key words: FY3D/MERSI, EOS/MODIS, Cloud detection, Convolutional neural network, Deep learning

CLC Number:

P458.1⁺21

QU Jian-hua, YAN Jun-jie, XUE Juan, GUO Xue-xing. Research on the cloud detection model of FY3D/MERSI and EOS/MODIS based on deep learning[J]. Journal of Meteorology and Environment, 2019, 35(3): 87-93.

References

[1] 宋小宁,赵英时.MODIS图象的云检测及分析[J].中国图象图形学报,2003,8(9):1079-1083.
[2] 周红妹,杨星卫,陆贤.NOAA气象卫星云检测方法的研究[J].遥感学报,1995(2):137-142.
[3] 杨亦萍,董晓刚,戴聪明,等.利用MODIS数据对北极夏季卷云特性的研究[J].红外与激光工程,2016,45(4):30-37.
[4] 赵忠明,朱重光.遥感图象中薄云的去除方法[J].环境遥感,1996,(3):195-199.
[5] 史加荣,马媛媛.深度学习的研究进展与发展[J].计算机工程与应用,2018,54(10):1-10.
[6] 周成伟.基于卷积神经网络的自然场景中数字识别[J].计算机技术与发展,2017,27(10):101-105.
[7] 刘玉洁,杨忠东.MODIS遥感信息处理原理与算法[M].北京:科学出版社,2001:109-130.
[8] 王剑,王英华,刘宏伟.基于深度卷积神经网络的PolSAR图像变化检测方法[J].系统工程与电子技术,2018,40(7):1457-1464.
[9] 许强,李伟,Loumbi P.深度卷积神经网络在SAR自动目标识别领域的应用综述[J].电讯科技,2018,58(1):106-112.
[10] Krizhevsky A,Sutskever I,Hinton G E.ImageNet classification with deep convolutional neural networks[C]//International Conference on Neural Information Processing Systems.Curran Associates Inc,2012:1097-1105.
[11] 许可.卷积神经网络在图像识别上的应用的研究[D].浙江大学,2012.
[12] 赵志宏,杨绍普,马增强.基于卷积神经网络LeNet-5的车牌字符识别研究[J].系统仿真学报,2010,22(3):638-641.
[13] 卢宏涛,张秦川.深度卷积神经网络在计算机视觉中的应用研究综述[J].数据采集与处理,2016,31(1):1-17.
[14] Xia X L,Xu C,Nan B.Inception-v3 for flower classification[C].20172nd International Conference on Image,Vision and Computing(ICIVC).IEEE,2017:783-787.
[15] Szegedy C,Ioffe S,Vanhoucke V,et al.Inception-v4,inception-resNet and the impact of residual connections on learning[Z].2016.
[16] 张弛,刘钧,李旭光,等.基于可见光-红外图像信息融合的云状识别方法[J].气象与环境学报,2018,34(1):82-90.
[17] 刘荣高,刘洋,刘纪远.MODIS科学数据处理研究进展[J].自然科学进展,2009,19(2):141-147.

Research on the cloud detection model of FY3D/MERSI and EOS/MODIS based on deep learning

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