摘要
建筑物的提取是地理数据库更新和建设的重要内容,利用高分辨率遥感影像进行建筑物提取是该项研究的重要方向,也是遥感前沿技术研究的重要内容。本文将相关文献进行归纳分析,将建筑物提取方法分为3种有代表性的类型:基于对象分割的提取方法、基于建筑特征的提取方法和结合辅助信息的提取方法,综述分析了每种类型的提取方法并总结了其优缺点,展望了高分辨率遥感影像中建筑物提取的发展前景。
Building extraction is an important part of geodatabase updating and construction.Extracting buildings from high-resolution remote sensing images is an important direction of building extraction’s research,and also an important content of remote sensing frontier technology research.In this paper,the related literatures are summarized and analyzed by being divided into three representative types:the extraction method based on object segmentation,the extraction method based on architectural features and the extraction method combined with auxiliary information,advantages and disadvantages of each extraction method are summarized,and the development prospects of building extraction in high-resolution remote sensing images are forecasted.
作者
张亚一
费鲜芸
王健
王筱雪
陈周
ZHANG Yayi;FEI Xianyun;WANG Jian;WANG Xiaoxue;CHEN Zhou(School of Geomatics and Marine Information,Huaihai Institute of Technology,Lianyungang 222000,China)
出处
《测绘与空间地理信息》
2020年第4期76-79,共4页
Geomatics & Spatial Information Technology
基金
国家自然科学基金(31270745)
连云港市科技局项目(SH1629)
研究生科研创新计划项目(SJCX18_0913)
江苏省海洋技术品牌专业资助(PPZY2015116)资助。
关键词
高分辨率影像
建筑物提取
图像自动处理
多特征提取方法
high resolution image
building extraction
automatic image processing
multi-feature extraction method
作者简介
张亚一(1995-),女,江苏南通人,测绘工程专业硕士研究生,主要研究方向为遥感图像处理。
