Object-based conditional random fields for road extraction from remote sensing image
文献类型：会议论文
| 作者 | Huang, Zhijian (1) ; Xu, Fanjiang (2) ; Lu, Lei (3) ; Nie, Hongshan (1) |
| 出版日期 | 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 |
| 中文摘要 | 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. |
| 英文摘要 | 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. |
| 收录类别 | EI |
| 会议录出版地 | Institute of Physics Publishing |
| 语种 | 英语 |
| ISSN号 | 17551307 |
| 源URL | [http://ir.iscas.ac.cn/handle/311060/16580]  |
| 专题 | 软件研究所_软件所图书馆_会议论文 |
| 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]. 见:35th International Symposium on Remote Sensing of Environment, ISRSE 2013. Beijing, China. April 22, 2013 - April 26, 2013. |
入库方式： OAI收割
来源：软件研究所
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