全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...
大气科学  2005 

用模糊神经网络自动识别云的技术研究

DOI: 10.3878/j.issn.1006-9895.2005.05.16

Keywords: 模糊神经网络,隶属度函数,卫星云图

Full-Text   Cite this paper   Add to My Lib

Abstract:

采用模糊逻辑理论与神经网络技术方法,构建一种新的分类识别方法--模糊神经网络(FNN),运用10.5~12.5μm通道的红外卫星云图资料,对(70°N~70°S,70°E~150°W)范围不同的云类进行定量自动模式识别高云、中云、低云区和无云区以及相关的云量,并结合数字图像处理的相关知识和技术,将分类结果用直观的图像输出.

References

[1]  白慧卿, 方宗义,吴蓉漳. 基于人工神经网络的GMS云图四类云系的识别. 应用气象学报, 1998, 9(4): 11~15Bai Huiqing, Fang Zongyi, Wu Rongzhang. Identification about four kinds of cloud system on GMS images based on nerve network. Quarterly Journal of Application Meteorology (in Chinese), 1998, 9(4): 11~15
[2]  Rossow W B, Schiffer R A. ISCCP cloud data products. Bull. Amer. Meteor. Soc., 1991, 72: 2~20
[3]  Mokhov I I, Schlesinger M E. Analysis of global cloudiness. 2. Comparision of ISCCP, Meteor and Nimbus 7 satellite data. J. Geophys. Res., 1994, 99: 17045~17065.
[4]  Kondragunta C R, Gruber A. Diurnal variations of the ISCCP cloudiness. Geophys. Res. Lett., 1994, 21: 2015~2018
[5]  周允华, 叶芳德, 周树秀, 等. 利用TI ROS-N卫星云图对1979年夏季青藏高原云量分布的研究, 高原气象, 1983, 2(1): 39~51Zhou Yunhua, Ye Fangde, Zhou Shuxiu, et al. The research of cloudy distribute make use of the satellite image of TI ROS-N in the Qinghai-Xizang Plateau on the summer in 1979. Plateau Meteorology (in Chinese), 1983, 2(1): 39~51
[6]  魏丽, 钟强, 侯萍. 中国大陆卫星反演云参数的评估. 高原气象, 1996, 15(2): 147~156Wei Li, Zhong Qiang, Hou Ping. Evaluation on cloud variables from ISCCP data over Chinese continent. Plateau Meteorology (in Chinese), 1996, 15(2): 147~156
[7]  翁笃铭, 韩爱梅. 我国卫星总云量与地面总云量分布的对比分析. 应用气象学报, 1998 , 9(1): 32~37Weng Duming, Han Aimei. Comparision between total cloudiness from satellite cloud pictures and ground observations over China. Journal of Application Meteorology (in Chinese), 1998, 9(1): 32~37
[8]  王可丽, 江灏, 陈世强. 青藏高原高原地区总云量--地面观测、卫星反演和同化资料的对比分析, 高原气象, 2001, 20(3): 252~257Wang Keli, Jiang Hao, Chen Shiqiang. Cloud Cover over Qinghai-Xizang Plateau: Comparison among Meteorological Station Observations, ISCCP-C2, and NCEP Reanalysis Data. Plateau Meteorology (in Chinese), 2001, 20(3): 252~257
[9]  方宗义, 刘玉洁, 朱小祥. 卫星云参数处理方法和1991年云气候特征分析. 应用气象学报, 1994, 5 (2): 135~142.Fang Zongyi, Liu Yujie, Zhu Xiaoxiang. A cloud parameters retrieval algorithm and cloud characteristic analysis over East Asia in 1991. Quarterly Journal of Application Meteorology (in Chinese), 1994, 5(2): 135~142
[10]  刘慧敏, 舒宁, 林卉. 图像边缘信息分析中的数学形态学的应用方法. 武汉大学学报(信息科学版), 2001, 26(4): 325~330Lui Huimin, Shu Ning, Lin Hui. The edge information analysis by mathematical geomorphology of image. Geomatics and Information Science of Wuhan University (in Chinese), 2001 26(4): 325~330
[11]  Baum B A, Tovinkere V, Titlow J, et al. Automated cloud classification of global AVHRR data using a fuzzy logic approach. J. Appl. Meteor., 1997, 36: 1519~1540
[12]  陈刚毅, 许丽生, 丁继烈. 卫星云图模式识别小波分形的特征量分析. 四川气象, 2003, 23(1): 48~51Chen Gangyi, Xu Lisheng, Ding Jilie. The satellite image mode identifies characteristic quantity with analysis of wavelet and fraction. Journal of Sichuan Meteorology (in Chinese), 2003, 23(1): 48~51
[13]  Pankiewicz G S. Pattern recognition techniques for the identification of cloud and cloud systems. Meteorol. Application, 1995, 2: 257~271
[14]  毛建旭, 王耀南. 基于模糊高斯基函数神经网络的遥感图像分类. 遥感技术与应用. 2001, 16(1): 62~65Mao Jianxu, Wang Yaonan. Remote sensing image classification based on fuzzy Gauss function nerve network. Remote Sensing Technology and Application (in Chinese), 2001, 16(1): 62~65
[15]  刘普寅, 李洪兴. 基于模糊神经网络的图像回复技术. 中国科学, E辑, 2002, 32(4): 541~552Liu P Y, Li H X. The picture reply technique is based upon fuzzy nerve network. Science in China (Series E) (in Chinese), 2002, 32(4): 541~552
[16]  Ding Shouguo, Shi Guangyu, Zhao Chunsheng. Analyzing global trends of different cloud types and their potential impacts on climate by using the ISCCP D2 dataset. Chinese Science Bulletin, 2004, 49(12): 1301~1306

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133