摘要
我国正处于城镇建设的高速发展阶段,城市用地现状信息提取是进行城市精细化管理的重要基础工作。本文通过对高分辨率遥感影像光谱特性的深入分析,提出一种结合面向对象分类和GIS分析技术的城市用地现状分类的处理新模式,实现了城市用地现状的高效分类。利用高分一号卫星高分辨率遥感数据进行验证,总体分类精度达81.44%。试验表明,该处理模式有效地简化了人工操作步骤,大幅度提高了高分辨率遥感影像城市用地现状提取的效率。
Our country is in a stage of rapid development of city construction,and urban land information extraction is an important basis for the city fine management work. Based on the analysis of the spectral characteristics of the image,this paper proposes a new model for urban land use classification by combing object-oriented classification and GIS analysis techniques. By the experimental verification of GF-1 satellite remote sensing images,the overall classification accuracy reaches 81. 44%. The proposed method can greatly simplify the manual operation and improve the efficiency of manual interpretation.
出处
《测绘与空间地理信息》
2015年第4期61-63,共3页
Geomatics & Spatial Information Technology
基金
高分辨率对地观测系统重大专项(E0303/1315/05)
北京市科技计划课题(Z131100005313008)
国家高技术研究发展计划(863计划)课题(2014AA09A511)资助
关键词
遥感技术
城市用地信息提取
面向对象分类
城市精细化
remote sensing technology
urban land information extraction
object-oriented classification
city fine management
