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Decision tree classification of land cover from remotely sensed data
M. A. Friedl” and C. E. Brodleyf
发表期刊Remote Sensing of Environment
ISSN0034-4257
1997
卷号61期号:3页码:399-409
通讯作者M. A. Fried
英文摘要Decision tree classification algorithms have significant potential for land cover mapping problems and have not been tested in detail by the remote sensing community relative to more conventional pattern recognition techniques such as maximum likelihood classification. In this paper, we present several types of decision tree classification algorithms arid evaluate them on three different remote sensing data sets. The decision tree classification algorithms tested include an univariate decision tree, a multivariate decision tree, and a hybrid decision tree capable of including several different types of classification algorithms within a single decision tree structure. Classification accuracies produced by each of these decision tree algorithms are compared with both maximum likelihood and linear discriminant function classifiers. Results from this analysis show that the decision tree algorithms consistently outperform the maximum likelihood and linear discriminant function classifiers in regard to classf — cation accuracy. In particular, the hybrid tree consistently produced the highest classification accuracies for the data sets tested. More generally, the results from this work show that decision trees have several advantages for remote sensing applications by virtue of their relatively simple, explicit, and intuitive classification structure. Further, decision tree algorithms are strictly nonparametric and, therefore, make no assumptions regarding the distribution of input data, and are flexible and robust with respect to nonlinear and noisy relations among input features and class labels.
文献类型期刊论文
条目标识符http://ir.yic.ac.cn/handle/133337/3041
专题科研共享资源
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M. A. Friedl” and C. E. Brodleyf. Decision tree classification of land cover from remotely sensed data[J]. Remote Sensing of Environment,1997,61(3):399-409.
APA M. A. Friedl” and C. E. Brodleyf.(1997).Decision tree classification of land cover from remotely sensed data.Remote Sensing of Environment,61(3),399-409.
MLA M. A. Friedl” and C. E. Brodleyf."Decision tree classification of land cover from remotely sensed data".Remote Sensing of Environment 61.3(1997):399-409.
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