杨柳;陈延辉;岳德鹏;冯仲科;

• 1:北京林业大学测绘与3S技术中心
• 2:平顶山学院旅游与规划学院

摘要(Abstract)：

针对传统人工城市绿地调查费时、费力等问题,该文提出了一种利用无人机遥感进行城市绿地信息提取的思路和方法。设计构建了基于固定翼无人机平台的遥感系统,对宁波市部分区域进行航飞实验。采用PixelGrid软件对无人机影像进行了预处理,得到测区正射影像。采用基于像元统计特征分类和面向对象分类两种方法,对研究区进行绿地信息快速提取并进行了精度验证。研究结果表明,利用最大似然分类法和归一化绿红差异指数法提取精度最高,分别为81.73%和80.23%。

关键词(KeyWords)： 无人机;遥感;信息提取;城市绿地

Abstract:

Keywords:

基金项目(Foundation): 国家自然科学基金项目(41371001);; 平顶山学院青年科研基金项目(PDSU-QNJJ-2013007)

作者(Author): 杨柳;陈延辉;岳德鹏;冯仲科;

Email:

DOI: 10.16251/j.cnki.1009-2307.2017.02.012

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