ISCAS OpenIR
Object-based conditional random fields for road extraction from remote sensing image
Huang, Zhijian (1); Xu, Fanjiang (2); Lu, Lei (3); Nie, Hongshan (1)
2014
会议名称35th International Symposium on Remote Sensing of Environment, ISRSE 2013
会议日期April 22, 2013 - April 26, 2013
会议地点Beijing, China
收录类别EI
出版地Institute of Physics Publishing
ISSN17551307
部门归属(1) SPDF, School of Electronic Science and Engineering, National University of Defense Technology, Changsha, China; (2) IIST, Key Lab. Institute of Software, Chinese Academy of Science, Beijing, China; (3) 95980Troop, People's Liberation Army Air Force, China
摘要To make full use of spatially contextual information and topological information in the procedure of Object-based Image Analysis (OBIA), an object-based conditional random field is proposed and used for road extraction. Objects are produced with an initial segmentation, then their neighbours are constructed. Each object is represented by three kinds of features, including the colour, the gradient of histogram and the texture. Formulating the road extraction as a binary classification problem, a Conditional Random Fields model learns and is used for inference. The experimental results demonstrate that the proposed method is effective.; To make full use of spatially contextual information and topological information in the procedure of Object-based Image Analysis (OBIA), an object-based conditional random field is proposed and used for road extraction. Objects are produced with an initial segmentation, then their neighbours are constructed. Each object is represented by three kinds of features, including the colour, the gradient of histogram and the texture. Formulating the road extraction as a binary classification problem, a Conditional Random Fields model learns and is used for inference. The experimental results demonstrate that the proposed method is effective.
语种英语
内容类型会议论文
URI标识http://ir.iscas.ac.cn/handle/311060/16580
专题中国科学院软件研究所
推荐引用方式
GB/T 7714
Huang, Zhijian ,Xu, Fanjiang ,Lu, Lei ,et al. Object-based conditional random fields for road extraction from remote sensing image[C]. Institute of Physics Publishing,2014.
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