首页 | 本学科首页   官方微博 | 高级检索  
     

Logistic回归模型在卫星云图云检测中的应用
引用本文:费文龙,吕红,韦志辉.Logistic回归模型在卫星云图云检测中的应用[J].计算机工程与应用,2012,48(4):18-21.
作者姓名:费文龙  吕红  韦志辉
作者单位:1.南京理工大学 计算机科学与技术学院,南京 2100942.南京信息工程大学 数理学院,南京 210044
基金项目:国家自然科学基金(No.61071146);国家自然科学基金(青年科学基金)(No.60802039);南京理工大学自主科研项目(No.2010ZYT070).
摘    要:云的自动检测和分类识别是所有卫星遥感资料应用的第一个步骤。基于Logistic回归模型的云图处理方法被用于FY-2C卫星云图的处理。利用逐步回归方法对云图的灰度及纹理特征进行提取,并计算出每个特征的回归系数;利用提取的特征进行云检测实验。将实验结果与地面观测资料进行对比,表明Logistic回归模型对云图处理是有效的,并且与传统的动态阈值分割方法相比,云检测的效果更好。

关 键 词:Logistic回归  卫星云图  云检测  特征提取  
修稿时间: 

Application of Logistic regression method in cloud detection of satellite image
FEI Wenlong , LV Hong , WEI Zhihui.Application of Logistic regression method in cloud detection of satellite image[J].Computer Engineering and Applications,2012,48(4):18-21.
Authors:FEI Wenlong  LV Hong  WEI Zhihui
Affiliation:1.School of Computer Science & Technology, Nanjing University of Science and Technology, Nanjing 210094, China2.College of Math & Physics, Nanjing University of Information Science & Technology, Nanjing 210044, China
Abstract:Automatic cloud detection is the first step of using the remote sensing data. In this study, a novel cloud detection method based on Logistic regression model is proposed. The stepwise regression is applied to extract the feature from the satellite image of FY-2C. The Logistic regression model is applied to detect the cloud. The result of experiment, compared with the surface observations, shows that the Logistic regression model is effective for cloud image processing, and the method is more accurate than the traditional threshold algorithm.
Keywords:Logistic regression  satellite image  cloud detection  feature extract
本文献已被 CNKI 维普 万方数据 等数据库收录!
点击此处可从《计算机工程与应用》浏览原始摘要信息
点击此处可从《计算机工程与应用》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号