基于IKONOS的道路信息提取方法研究  

Discuss Methods for the Extraction of Road Information from IKONOS

作　　者：张元栋[1] 虞亚楠 郭云[3] 秦广田[1] 

机构地区：[1]国家测绘地理信息局第一地形测量队,陕西西安710054 [2]西北农林科技大学资源环境学院,陕西杨凌712100 [3]河南油田高级中学,河南南阳473132

出　　处：《北京测绘》2015年第5期43-46,共4页Beijing Surveying and Mapping

摘　　要：道路作为现代交通体系的主体,是遥感测绘工作中获取的重要地理信息。基于高分辨率遥感影像,对其特征信息进行准确并有效的提取,具有重要的意义。在分析道路的光谱和形状特征基础上,基于IKONOS高分辨率遥感影像,利用NDVI和NDBI两种方法,探究针对高分辨率遥感数据类别特征的较为有效的道路提取方法。结果表明,NDVI方法能够较有效地提高在高分辨率遥感影像上提取道路信息的精度。As a modern transportation system, the main road is an important geographic information in remote sensmg surveying and mapping work. Extracting the feature information accurately and effectively based on high resolution remote sensing image has important significance. Based on analysis on spectral and shape features of the road on the IKONOS high resolution remote sensing image, using two kinds of method NDVI and NDBI, inquiry more effective way , that is which extraction method for characteristics of road on high spatial resolution remote sensing data is much better. The results show that, the NDVI method can effectively extract the road information on high resolution remote sensing image.

关 键 词：IKONOS数据 道路信息提取 Edge函数 NDVI NDBI 

分 类 号：P237[天文地球—摄影测量与遥感]