四川大学学报（自然科学版）2017，Vol.54Issue(1)：81-88,8.DOI:103969/j.issn.0490-6756.2017.01.014
一种高分辨率遥感影像道路提取方法
A method for road extraction from high resolution remote sensing image
摘要
Abstract
In this paper,a road extracton method is proposed by combining kernel-based Fisher linear discriminant (FLD) classification and shape feature.This method has four main steps:First,the color information of labeled samples is extracted.Then kernel-based Fisher linear discriminant is used to implement feature classification to segment the images into two categories:road and non-road,according to the information extracted before.After that,the road shape optimization features are used to remove erroneous extraction.Finally,morphological processing are used to optimize the extraction results.Experiment results show that the proposed method in this paper can realize the extraction of road from remote sensing image with color information.关键词
图像处理/道路提取/核函数/Fsher线性判别/特征分类/形状特征Key words
Image processing/Road extraction/Kernel/Fisher Linear Discriminant/Feature classification/Shape feature分类
信息技术与安全科学引用本文复制引用
谢明鸿,宋纳..一种高分辨率遥感影像道路提取方法[J].四川大学学报（自然科学版）,2017,54(1):81-88,8.基金项目
云南省教育厅重点项目(KKJD 2014Z024) （KKJD 2014Z024）
昆明理工大学引进人才项目(KKSY201403020,KKSY201403116) （KKSY201403020,KKSY201403116）
