A Bayesian approach for building detection in densely build-up high resolution satellite image

CASIA OpenIR > 09年以前成果

	A Bayesian approach for building detection in densely build-up high resolution satellite image
	Song, Zongying; Pan, Chunhong; Yang, Q.; Campilho, A; Kamel, M
发表期刊	IMAGE ANALYSIS AND RECOGNITION, PT 2
	2006
卷号	4142 页码:710-721
文章类型	Article
摘要	In this paper, we present a novel automatic approach for building detection from high resolution satellite image with densely build-up buildings. Unlike the previous approaches which normally start with lines and junctions, our approach is based on regions. In our method, first the prior building model is constructed with texture and shape features from the training building set. Then, we over-segment the input image into many small atomic regions. Given the prior building model and the over-segmented image, we group these small atomic regions together to generate region groups which have a similar pattern with the prior building model. These region groups are called candidate building region groups(CBRGs). The CBRGs grouping and recognition problems are formulated into an unified Bayesian probabilistic framework. In this framework, the CBRGs grouping and recognition are accomplished simultaneously by a stochastic Markov Chain Monte Carlo(MCMC) mechanism. To fasten this simulation process, an improved Swendsen-Wang Cuts graph partition algorithm are used. After obtaining CBRGs, lines which have strong relationship with CBRGs are extracted. From these lines and the CBRG boundaries, 2-D rooftop boundary hypotheses are generated. Finally, some contextual and geometrical rules are used to verify these rooftop boundary hypotheses. Experimental results are shown on areas with hundreds of buildings.
WOS标题词	Science & Technology ; Technology
关键词[WOS]	EXTRACTION
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:000241553600064
引用统计	被引频次：2[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/9209
专题	09年以前成果
作者单位	Chinese Acad Sci, Natl Lab Pattern Recognit, Inst Automat, Beijing 100080, Peoples R China
推荐引用方式 GB/T 7714	Song, Zongying,Pan, Chunhong,Yang, Q.,et al. A Bayesian approach for building detection in densely build-up high resolution satellite image[J]. IMAGE ANALYSIS AND RECOGNITION, PT 2,2006,4142:710-721.
APA	Song, Zongying,Pan, Chunhong,Yang, Q.,Campilho, A,&Kamel, M.(2006).A Bayesian approach for building detection in densely build-up high resolution satellite image.IMAGE ANALYSIS AND RECOGNITION, PT 2,4142,710-721.
MLA	Song, Zongying,et al."A Bayesian approach for building detection in densely build-up high resolution satellite image".IMAGE ANALYSIS AND RECOGNITION, PT 2 4142(2006):710-721.