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| 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 | |
| Conference Name | 35th International Symposium on Remote Sensing of Environment, ISRSE 2013 |
| Conference Date | April 22, 2013 - April 26, 2013 |
| Conference Place | Beijing, China |
| Indexed Type | EI |
| Publish Place | Institute of Physics Publishing |
| 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 |
| 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.; 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 |
| Collection | 中国科学院软件研究所 |
| Recommended Citation 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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