Extraction of main urban roads from high resolution satellite images by machine learning
文献类型：期刊论文
| 作者 | Wang, YQ; Tian, Y ; Tai, XQ; Shu, LX; Narayanan, PJ; Nayar, SK; Shum, HY
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| 刊名 | COMPUTER VISION - ACCV 2006, PT I
 |
| 出版日期 | 2006 |
| 卷号 | 3851页码:236-245 |
| 关键词 | AdaBoost local binary pattern machine learning road extraction |
| 英文摘要 | This paper focuses on automatic road extraction in urban areas from high resolution satellite images. We propose a new approach based on machine learning. First, many features reflecting road characteristics are extracted, which consist of the ratio of bright regions, the direction consistency of edges and local binary patterns. Then these features are input into a learning container, and AdaBoost is adopted to train classifiers and select most effective features. Finally, roads are detected with a sliding window by using the learning results and validated by combining the road connectivity. Experimental results on real Quick-bird images demonstrate the effectiveness and robustness of the proposed method. |
| WOS标题词 | Science & Technology ; Technology |
| 类目[WOS] | Computer Science, Artificial Intelligence ; Computer Science, Theory & Methods |
| 研究领域[WOS] | Computer Science |
| 收录类别 | ISTP ; SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000235772300025 |
| 公开日期 | 2015-12-24 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/9197]  |
| 专题 | 自动化研究所_09年以前成果 |
| 作者单位 | Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100080, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wang, YQ,Tian, Y,Tai, XQ,et al. Extraction of main urban roads from high resolution satellite images by machine learning[J]. COMPUTER VISION - ACCV 2006, PT I,2006,3851:236-245. |
| APA | Wang, YQ.,Tian, Y.,Tai, XQ.,Shu, LX.,Narayanan, PJ.,...&Shum, HY.(2006).Extraction of main urban roads from high resolution satellite images by machine learning.COMPUTER VISION - ACCV 2006, PT I,3851,236-245. |
| MLA | Wang, YQ,et al."Extraction of main urban roads from high resolution satellite images by machine learning".COMPUTER VISION - ACCV 2006, PT I 3851(2006):236-245. |
入库方式： OAI收割
来源：自动化研究所
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