改进的角度余弦方法在湿地遥感影像分类中的应用  

Improved Method of CAC Using in the Classification of Wetland Remote Sensing Image

作　　者：付博[1] 谢振红[1] 邓彩群[1] 

机构地区：[1]吉林建筑工程学院测绘与勘查工程学院,长春130118

出　　处：《吉林建筑工程学院学报》2010年第4期18-21,共4页Journal of Jilin Architectural and Civil Engineering

摘　　要：湿地研究是国际生态学与环境科学研究的热点问题之一.遥感技术已成为湿地监测的一种有力手段,但如何提高湿地解译精度问题并无太大进展.角度余弦方法是根据测试光谱(像元光谱)与参考光谱的相似性来决定一个像元的类别.以扎龙湿地为试验区,将改进的夹角余弦方法引入湿地遥感影像分类中的研究,得到了扎龙湿地遥感影像分类图,并对夹角余弦方法在研究区影像分类中的精度进行了分析讨论.The study on wetland is one of the hotspots of the international ecology and environment science.The technique of remote sensing has been a powerful measure on wetland monitoring,but there is little progress on how to improve the precision of wetland explaining.The category of a pixel is identified in CAC according to the similarity between the test spectrum and reference spectrum.In this paper,taking Zhalong wetland as an example,the improved CAC is introduced in the classification of remote sensing image,the classification figure is achieved and the classification accuracy of CAC is analyzed.

关 键 词：遥感 湿地 分类 光谱角度制图法 角度余弦方法 

分 类 号：P237[天文地球—摄影测量与遥感]