检索结果-南通市图书馆

A Method of soil Salinization Information Extraction with SVM Classification Based on ICA and Texture Features

Agricultural Science & Technology 2011年第7期12卷 1046-1049,1074页

作者： ZHANG Fei TASHPOLAT Tiyip KUNG Hsiang-te DING Jian-li MAMAT.Sawut VERNER Johnson HAN Gui-hong GUI Dong-wei College of Resources and Environment Science Xinjiang UniversityUrumqi 830046 Key Laboratory of Oasis Ecology Xinjiang UniversityUrumqi 830046 Department of Earth Sciences the University of MemphisMemphisTN 38152USA Graduate School of Xinjiang University Urumqi 830046 Department of Physical and Environmental Sciences Mesa State College in Grand Junction CO 81501USA Xinjiang Institute of Ecology and Geography Chinese Academy of SciencesUrumqi 830011 Cele National Station of Observation ＆ Research for Desert-Grassland Ecosystem in Xinjiang Cele 848300

Salt-affected soils classification using remotely sensed images is one of the most common applications in remote sensing,and many algorithms have been developed and applied for this purpose in the *** study takes the Delta Oasis of Weigan and Kuqa Rivers as a study area and discusses the prediction of soil salinization from ETM +Landsat *** reports the Support Vector Machine(SVM) classification method based on Independent Component Analysis(ICA) and Texture ***,the letter introduces the fundamental theory of SVM algorithm and ICA,and then incorporates ICA and texture *** classification result is compared with ICA-SVM classification,single data source SVM classification,maximum likelihood classification(MLC) and neural network classification qualitatively and *** result shows that this method can effectively solve the problem of low accuracy and fracture classification result in single data source *** has high spread ability toward higher array *** overall accuracy is 98.64%,which increases by10.2% compared with maximum likelihood classification,even increases by 12.94% compared with neural net classification,and thus acquires good ***,the classification method based on SVM and incorporating the ICA and texture features can be adapted to RS image classification and monitoring of soil salinization.

关键词： Independent component analysis(ICA) Texture features Support vector machine(SVM) soil salinizaiton

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

欢迎您,

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

请选择保存的检索档案：

请选择收藏分类：

通借通还

欢迎您,

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：