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Title:
Object-based conditional random fields for road extraction from remote sensing image
Author: Huang, Zhijian (1) ; Xu, Fanjiang (2) ; Lu, Lei (3) ; Nie, Hongshan (1)
Conference Name: 35th International Symposium on Remote Sensing of Environment, ISRSE 2013
Conference Date: April 22, 2013 - April 26, 2013
Issued Date: 2014
Conference Place: Beijing, China
Publish Place: Institute of Physics Publishing
Indexed Type: EI
ISSN: 17551307
Department: (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
Abstract: 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.
English Abstract: 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.
Language: 英语
Content Type: 会议论文
URI: http://ir.iscas.ac.cn/handle/311060/16580
Appears in Collections:软件所图书馆_会议论文

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Recommended Citation:
Huang, Zhijian ,Xu, Fanjiang ,Lu, Lei ,et al. Object-based conditional random fields for road extraction from remote sensing image[C]. 见:35th International Symposium on Remote Sensing of Environment, ISRSE 2013. Beijing, China. April 22, 2013 - April 26, 2013.
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