Land-use Classification of Zhanghe River Basin Using the Maximum Likelihood and Decision Tree Method
For Zhanghe areas,we utilized the Landsat5 TM images of 2010 to complete the regions land use classification based on the maximum likelihood method.Analyzing the constraints of land use classification in the research area,our classification method includes 4 aspects: cloud and hillshade were classified at first and then reprocessed separately; water body was classified combining supervised classification and interactive interpretation; cities and villages were distinguished based on prior knowledge; the slope hierarchy of arable land was accomplished by slope of the study area based on decision tree.67%of regions of interest(ROIs)were randomly selected for sample training,while the rest 33%of ROIs participated in confusion matrix validation.The experiment shows that the classification accuracy is 91.50%and the Kappa coefficient is 0.8587.
component maximum likelihood method decision tree post classification land use classification
Hao Wang Hongrui Zhao Wanqing Li
Institute of Geomatics,Department of Civil Engineering Tsinghua University Beijing,China Hebei Engineering University Handan,Hebei Province,China
国际会议
厦门
英文
330-335
2014-08-19（万方平台首次上网日期，不代表论文的发表时间）