基于决策树的帽天山小流域磷矿开采区植被遥感判读研究  

STUDY ON REMOTE SENSING INTERPRETATION OF THE PHOSPHORITE MINED REGION VEGETABLE IN MAOTIANSHAN MOUNTAIN WATERSHED BASED ON DECISION TREE

作　　者：赵敏慧[1] 杨中宝[1] 

机构地区：[1]玉溪师范学院,云南玉溪653100

出　　处：《云南地理环境研究》2013年第2期71-75,共5页Yunnan Geographic Environment Research

基　　金：云南省自然科学基金"抚仙湖流域磷矿开采区植被恢复的林种配置与空间布局研究"(2006B0088M);云南省教育厅科学研究基金项目"抚仙湖流域磷矿开采区植被恢复的林种配置研究"(0621248)

摘　　要：基于RS技术平台,将ASTER遥感数据与土地利用现状图和地形图相结合,采用决策分类方法对抚仙湖帽天山小流域磷矿开采区植被类型进行分类研究,结果表明,基于RS的多源数据融合对小流域内不同植被类型信息具有较强的识别能力,通过野外随机抽样证实,帽天山小流域磷矿开采区植被类型遥感解译准确率92%。ASTER remote sensing data becomes merged with the Current land use map and contour map Based on the 3S technology,decision analysis of the phosphorite mined region vegetable types in maotianshan mountain watershed of Fuxian Lake Basin has been made,the correct rate of remote sensing interpretation is 92% by field random sampling,The result shows that the vegetable features were well identified by mult-source data fusion.

关 键 词：磷矿开采区 植被 判读遥感 决策树 帽天山小流域 

分 类 号：TP79[自动化与计算机技术—检测技术与自动化装置]