%0 Journal Article
%T Accuracy Assessment of Thematic Classification Based on Point and Cluster Sample<br>遥感图像分类精度的点、群样本检验与评估
%A LIU Xu-long
%A HE Chun-yang
%A PAN Yao-zhong
%A YANG Ming-chuan
%A ZHANG Jin-shui
%A <br>刘旭拢
%A 何春阳
%A 潘耀忠
%A 杨明川
%A 张锦水
%J 遥感学报
%D 2006
%I 
%X In order to assure the application of thematic classification,it is very important and necessary to make a rigorous accuracy assessment.In this paper,we use sampling-methods of point and cluster sample to assess the accuracy of the same region's land-use/land-cover thematic maps,which are derived from different resolution remote sensing data.Here,Sampling designs are consisted of simple random,systematic and stratified sampling.The results are as following.Firstly,the sampling design has great impact on the accuracy of remote sensing classification.There exists great randomicity on the result of points and cluster sample verification on the different Sampling design.On the same sampling design,the stability of point sample verification is higher than that of Cluster sample verification.Secondly,the average accuracy of different sampling designs of multi-point and multi-cluster sample verification can reflect the accuracy characteristic.During the course of point sample verification,stratified sampling's error is lower than others'.During the course of cluster sample verification,systematic sampling and stratified sampling's accuracy are prior to simple random sampling's.
%K remote sensing classification
%K accuracy assessment
%K point sample
%K cluster sample<br>遥感分类
%K 精度评估
%K 点样本检验
%K 群样本检验
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=E62459D214FD64A3C8082E4ED1ABABED5711027BBBDDD35B&cid=A41A70F4AB56AB1B&jid=F926358B31AC94511E4382C083F7683C&aid=D6252DE1BB30EACE&yid=37904DC365DD7266&vid=F3090AE9B60B7ED1&iid=38B194292C032A66&sid=2E41258BCB9A7DB2&eid=965F4E89CD0AFC30&journal_id=1007-4619&journal_name=遥感学报&referenced_num=12&reference_num=13