Institutional Repository of Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
Robust Rooftop Extraction From Visible Band Images Using Higher Order CRF | |
Li, Er1; Femiani, John1; Xu, Shibiao2; Zhang, Xiaopeng2; Wonka, Peter3,4; Er Li, John Femiani, Shibiao Xu, Xiaopeng Zhang, Peter Wonka | |
发表期刊 | IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING |
2015-02-24 | |
卷号 | 53期号:8页码:4483-4495 |
文章类型 | Article |
摘要 | In this paper, we propose a robust framework for building extraction in visible band images. We first get an initial classification of the pixels based on an unsupervised presegmentation. Then, we develop a novel conditional random field (CRF) formulation to achieve accurate rooftops extraction, which incorporates pixel-level information and segment-level information for the identification of rooftops. Comparing with the commonly used CRF model, a higher order potential defined on segment is added in our model, by exploiting region consistency and shape feature at segment level. Our experiments show that the proposed higher order CRF model outperforms the state-of-the-art methods both at pixel and object levels on rooftops with complex structures and sizes in challenging environments. |
关键词 | Buildings Rooftops Conditional Random Field (Crf) Shadows |
WOS标题词 | Science & Technology ; Physical Sciences ; Technology |
关键词[WOS] | BUILDING DETECTION ; SATELLITE IMAGES ; AUTOMATED DETECTION ; AERIAL IMAGERY ; GRAPH CUTS ; RECONSTRUCTION ; IDENTIFICATION ; INFORMATION ; FRAMEWORK ; SHADOWS |
收录类别 | SCI |
语种 | 英语 |
WOS研究方向 | Geochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology |
WOS类目 | Geochemistry & Geophysics ; Engineering, Electrical & Electronic ; Remote Sensing ; Imaging Science & Photographic Technology |
WOS记录号 | WOS:000351763800027 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/8121 |
专题 | 模式识别国家重点实验室_多媒体计算 |
通讯作者 | Er Li, John Femiani, Shibiao Xu, Xiaopeng Zhang, Peter Wonka |
作者单位 | 1.Arizona State Univ, Dept Engn & Comp Syst, Mesa, AZ 85212 USA 2.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China 3.Arizona State Univ, Dept Comp Sci & Engn, Tempe, AZ USA 4.King Abdullah Univ Sci & Technol, Comp Elect & Math Sci & Engn Div, Thuwal 23955, Saudi Arabia |
推荐引用方式 GB/T 7714 | Li, Er,Femiani, John,Xu, Shibiao,et al. Robust Rooftop Extraction From Visible Band Images Using Higher Order CRF[J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,2015,53(8):4483-4495. |
APA | Li, Er,Femiani, John,Xu, Shibiao,Zhang, Xiaopeng,Wonka, Peter,&Er Li, John Femiani, Shibiao Xu, Xiaopeng Zhang, Peter Wonka.(2015).Robust Rooftop Extraction From Visible Band Images Using Higher Order CRF.IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,53(8),4483-4495. |
MLA | Li, Er,et al."Robust Rooftop Extraction From Visible Band Images Using Higher Order CRF".IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 53.8(2015):4483-4495. |
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