水源地土地覆被分类及无人机遥感验证评价方法研究  

Researches on Land Cover Classification of Water Source and Its Validation and Evaluation Using UAV Remote Sensing

作　　者：李营[1] 杨一鹏[1] 殷守敬[1] 杨海军[1] 洪运富[1] 朱海涛[1] 

机构地区：[1]环境保护部卫星环境应用中心,北京100094

出　　处：《环境与可持续发展》2015年第1期79-80,共2页Environment and Sustainable Development

基　　金：高分辨率对地观测系统重大专项科研项目(05-Y30B02-9001-13/15-11)

摘　　要：本文提出一种水源地土地覆被分类及无人机遥感验证评价方法。采用面向对象分类方法对高空间分辨率卫星遥感影像进行土地覆被分类,基于无人机遥感影像,采用随机抽样方法获取多边形样本验证分类结果,建立混淆矩阵后评价分类精度,并采用国产卫星及无人机遥感数据开展示例研究,取得了很好的研究应用效果。This paper proposed a method of land cover classification of water source and its validation anti evaluation using UAV remote sensing, firstly, made use of Object - oriented method to classify remote sensing image with high spatial resolution, second, validated the classification using polygon samples which were obtained from UAV image with random sampling method, then, constructed confusion matrix to evaluate the classification accuracy. Based on the above method, made use remotes sensing data of China＇ s satellite and UAV to carry out case study, the results showed good effectiveness.

关 键 词：水源地 土地覆被分类 遥感 验证 

分 类 号：X87[环境科学与工程—环境工程]