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A Study on Decision Tree Classification Method of Land Use/Land Cover - Taking tree counties in Hebei Province as an example

机译:土地利用/陆地覆盖的决策树分类方法研究 - 以河北省为例

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Adopted the decision tree technology, utilized its process pattern that it imitates human's judgment and thinking and fault-tolerance feature, the author developed the decision tree classification method. In the research, first, utilized SPOT and TM, the work effectively enhanced LULC information and established the synthetic database; then, combined geosciences synthetic analysis with ground spectral feature information, utilized CART system; then the author built the decision tree model that based on the decision rules. At last, we discussed the wild use of LULC decision tree classified and stratified extractive technology. Took three counties in HeBei province as example, divided research area to classify unit (county area) by ecological division, utilized multiply data resource and geosciences rule to build the decision tree model and test and verify the method. The results demonstrated that the method improve the speed and precision of classification.
机译:采用决策树技术,利用其过程模式,它模仿人类的判断和思维和容错功能,作者开发了决策树分类方法。在研究中,首先,利用点和TM,工作有效地增强了LULC信息并建立了合成数据库;然后,使用地形综合分析与地面光谱特征信息,利用购物车系统;然后,作者构建了基于决策规则的决策树模型。最后,我们讨论了Lulc决策树分类和分层采掘技术的野生利用。以河北省占据了三个县,例如,通过生态划分分类为分类的研究区(县域),利用乘法数据资源和地球科学规则来构建决策树模型和测试并验证该方法。结果表明,该方法提高了分类的速度和精度。

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