山东农业大学学报（自然科学版）2016，Vol.47Issue(3)：372-377,6.DOI:10.3969/j.issn.1000-2324.2016.03.010
基于决策树分类的土地覆盖信息提取研究
Study on Soil Cover Information Extraction Based on Decision Tree Classification
摘要
Abstract
To get a lot of information from land cover extraction at a convenience, celerity and accuracy, this paper fully used the characteristics of ETM + multispectral data, the DEM elevation information and the relevant knowledge about a slope, orientation etc. combining with each index of NDVI, NDWI, SAVI, NDBI to establish the decision tree model of land cover information extraction and verify its precision. The result showed that it was suitable enough for the extraction of land cover information and its precision wet up to 86.49%, the Kappa coefficient was 0.8367.关键词
土地覆盖/ETM+/决策树分类/信息提取Key words
Soil cover/ETM+/decision tree classification/information extraction分类
农业科技引用本文复制引用
姚蓓蓓,段德宏..基于决策树分类的土地覆盖信息提取研究[J].山东农业大学学报（自然科学版）,2016,47(3):372-377,6.基金项目
山东省优秀中青年科学家奖励基金(2011BSB01500) （2011BSB01500）
