Land cover classification based on tolerant rough set

被引：26

作者：

Yun, Ouyang ^{[1
]}

Ma, Jianwen

机构：

[1] Chinese Acad Sci, Inst Remote Sensing Applicat, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China

[2] Chinese Acad Sci, Grad Sch, Beijing 100049, Peoples R China

来源：

INTERNATIONAL JOURNAL OF REMOTE SENSING | 2006年 / 27卷 / 14期

关键词：

D O I：

10.1080/01431160600702368

中图分类号：

TP7 [遥感技术];

学科分类号：

081102 ; 0816 ; 081602 ; 083002 ; 1404 ;

摘要：

The tolerant rough set classifier (TRSC) was introduced for land cover classification. TRSC uses a tolerance relation to define the tolerant rough set of each object to be classified, and then classifies the object using the relative frequency of each class in the lower approximation or boundary of its tolerant rough set. According to the overall accuracy, the k coefficient, the total normalized probability of misclassification (TNPM) and McNemar's test, the result of TRSC was better than that of the minimum distance classifier (MDC), and similar to those of the maximum likelihood classifier (MLC) and the multiplayer perceptron (MLP).

引用

页码：3041 / 3047

页数：7

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