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
Source PublicationIMAGE ANALYSIS AND RECOGNITION, PT 2
2006
Volume4142Pages:710-721
SubtypeArticle
AbstractIn 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 HeadingsScience & Technology ; Technology
WOS KeywordEXTRACTION
Indexed ByISTP ; SCI
Language英语
WOS Research AreaComputer Science
WOS SubjectComputer Science, Artificial Intelligence ; Computer Science, Theory & Methods
WOS IDWOS:000241553600064
Citation statistics
Cited Times:1[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/9209
Collection09年以前成果
AffiliationChinese Acad Sci, Natl Lab Pattern Recognit, Inst Automat, Beijing 100080, Peoples R China
Recommended Citation
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.
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