CASIA OpenIR  > 09年以前成果
Extraction of main urban roads from high resolution satellite images by machine learning
Wang, YQ; Tian, Y; Tai, XQ; Shu, LX; Narayanan, PJ; Nayar, SK; Shum, HY
2006
发表期刊COMPUTER VISION - ACCV 2006, PT I
卷号3851页码:236-245
文章类型Article
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.
关键词Adaboost Local Binary Pattern Machine Learning Road Extraction
WOS标题词Science & Technology ; Technology
收录类别ISTP ; SCI
语种英语
WOS研究方向Computer Science
WOS类目Computer Science, Artificial Intelligence ; Computer Science, Theory & Methods
WOS记录号WOS:000235772300025
引用统计
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/9197
专题09年以前成果
作者单位Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100080, Peoples R China
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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.
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