利用RapidEye数据提取冬小麦面积及精度评估研究

Method for Extracting Winter Wheat Area Using RapidEye Data and Its Accuracy Assessment

利用RapidEye数据提取冬小麦播种面积,应用易康和ArcGIS软件,采用计算机自动处理技术,结合人机交互处理技术从遥感影像获取冬小麦信息,并利用ERDAS软件对分类结果进行了精度评估.最后以聊城市东阿县为例进行了实证研究,结果表明:Kappa系数达到0.8,分类精度较高,结果较理想.可见,利用Rapid-Eye数据提取冬小麦播种面积是完全可行的.

Extracting winter wheat area was realized by using RapidEye data.With the help of eCognition and ArcGIS,the winter wheat area information is obtained from the remote sensing image by methods of computer automatic processing technology and man-machine interactive processing technology.The precision evaluation is done by ERDAS Software.By the end,the empirical research on Dong＇e County,Liaocheng City is made,and the results show that the kappa value reaches 0.8,and the classification accuracy is high.Therefore,it is concluded that the RapidEye data can be utilized in extracting winter wheat area.