采用随机森林法的天绘数据干旱区城市土地覆盖分类OA北大核心CSCDCSTPCD
Random forest classification of land cover information of urban areas in arid regions based on TH-1 data
基于天绘一号(TH-1,或称MS-1)卫星多光谱数据,采用随机森林分类方法(random forests classification,RFC)对位于中亚干旱区的我国新疆维吾尔族自治区阿勒泰地区北屯市及周边区域的土地覆盖进行了分类研究.针对北屯市不透水层与裸土混杂的情况,将纹理特征与植被信息构建最优组合,建立有效的RFC分类器,提高对易混淆土地覆盖类型的分类识别精度.结果表明,采用RFC的分类精度高于最大似然法分类结果,总体分类精度提高了近10％…查看全部>>
Random-forest classification (RFC) method was used to extract the land cover information from the TH-1 satellite remotely sensed multispectral data in Beitun Town and its adjacent areas within the arid region of Altay,Xinjiang.Owing to the mixture of the impervious covers and the exposed soils inside the city,the textural and vegetation features were derived from the TH-1 panchromatic image and multispectral bands and subsequently applied to creating optimal…查看全部>>
田绍鸿;张显峰
北京大学遥感与地理信息系统研究所,北京100871北京大学遥感与地理信息系统研究所,北京100871
计算机与自动化
天绘一号(TH-1)随机森林特征选择土地覆盖分类干旱区
TH-1random forestsfeature selectionland-cover classificationarid regions
《国土资源遥感》 2016 (1)
43-49,7
国家科技支撑计划项目“新疆重大突发事件应急响应技术与应用”(编号:2012BAH27B03)和新疆建设兵团援疆项目“基于小型无人机遥感的额河流域自然灾害防控关键技术研究”(编号:2014AB021).