高分辨率影像基于影像对象的受损道路提取  

Damaged Road Extraction Based on Image Object in High Resolution Image

作　　者：李佳[1] 杜珂磊 王宇龙[1] 

机构地区：[1]成都理工大学地球科学学院,四川成都610059

出　　处：《测绘与空间地理信息》2015年第7期69-72,共4页Geomatics & Spatial Information Technology

基　　金：四川省开放基金项目(K2015B001)资助

摘　　要：基于影像对象对高分辨率影像中的受损道路进行提取,并重点介绍了易康软件中的影像分割,形成影像对象,建立道路规则库,进而提取出道路信息,并判断受损道路信息。以龙门乡受灾区为例进行试验,利用易康软件对影像进行分割并提取受损道路信息,表明基于影像对象的思想在易康对受损道路进行提取是可行的。In this paper, it extracts high resolution images of the damaged road based on the image object, and introduces ecognition＇ s image segmentation, forming image objects, building the rules of the road base in order to extract the information of road and getting the damaged road information. Taking Longmen township disaster area as an example, it used ecogniton software to segment the image and get the information of the damaged road, which is demonstrated that the idea of image object is useful in extracting damaged road.

关 键 词：易康 受损道路 影像对象 高分辨率影像 

分 类 号：P23[天文地球—摄影测量与遥感]