摘要
传统的基于像元的桥梁提取方法分类精度低、遥感影像信息得不到充分利用、提取速度慢。据此,提出了基于面向对象的桥梁提取方法,并将利用该方法提取到的影像进行二次分割。以Econgition为平台进行提取实验,结果表明:基于面向对象的桥梁提取方法提取速度快、精度高。
The traditional bridge extraction method is based on pixels.In this method,classification accuracy is low,remote sensing image information is not made full use of,and speed extraction is also slow.This paper puts forward the object-oriented method of which used in the extraction of the bridge and imagine secondary segmentation.The extraction experiments are done using Econgition as the experiment platform.The results show that object-oriented methods in the bridge extraction are suitable for high resolution in remote sensing image extracted,and has high efficiency and precision.
出处
《地矿测绘》
2011年第4期24-25,31,共3页
Surveying and Mapping of Geology and Mineral Resources
关键词
面向对象
遥感影像
二次分割
object-oriented
remote sensing image
secondary segmentation
