测绘科学技术学报2016，Vol.33Issue(5)：502-506,5.DOI:10.3969/j.issn.1673-6338.2016.05.012
一种高分辨率彩色遥感影像的道路检测方法
A Method for Road Detection from High Resolution Color Remote Sensing Image
摘要
Abstract
In this paper, a road extracting method is proposed by combining FLD feature extraction and shape fea-ture. This method has four main steps. Firstly, the color information of labeled samples is extracted. Then, 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, initial road network is extracted by threshold segmentation according to the result of classification. Finally, the road shape optimization features and morphologi-cal processing are used to remove erroneous extraction and optimize the extraction results. Experiment results show that the proposed method can realize the main road extraction from the remote sensing image with color information.关键词
Fisher线性判别/颜色分类/形状特征/阈值分割/道路检测Key words
Fisher linear discriminant/colors category/shape feature/threshold segmentation/road detection分类
天文与地球科学引用本文复制引用
宋纳,谢明鸿,高春霞..一种高分辨率彩色遥感影像的道路检测方法[J].测绘科学技术学报,2016,33(5):502-506,5.基金项目
云南省教育厅重点基金项目( KKJD201403003) （ KKJD201403003）
昆明理工大学引进人才基金项目( KKSY201403020 （）
KKSY201403116). （）
