Robust Rooftop Extraction From Visible Band Images Using Higher Order CRF

CORC > 自动化研究所 > 中国科学院自动化研究所 > 模式识别国家重点实验室 > 多媒体计算与图形学团队

	Robust Rooftop Extraction From Visible Band Images Using Higher Order CRF
	Li, Er1 ; Femiani, John 1; Xu, Shibiao2 ; Zhang, Xiaopeng2 ; Wonka, Peter 3,4
刊名	IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
	2015-08-01
卷号	53 期号:8 页码:4483-4495
关键词	Buildings rooftops conditional random field (CRF) shadows
英文摘要	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.
WOS标题词	Science & Technology ; Physical Sciences ; Technology
类目[WOS]	Geochemistry & Geophysics ; Engineering, Electrical & Electronic ; Remote Sensing ; Imaging Science & Photographic Technology
研究领域[WOS]	Geochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic 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记录号	WOS:000351763800027
公开日期	2015-09-22
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/8121]
专题	自动化研究所_模式识别国家重点实验室_多媒体计算与图形学团队
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.(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.