期刊
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
卷 12, 期 9, 页码 1823-1827出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/LGRS.2015.2429894
关键词
Chinese restaurant franchise (CRF); image fusion; roof-hole detection; unmanned aerial vehicle (UAV) images
类别
资金
- National Basic Research Program of China [2011CB707102]
- Program for New Century Excellent Talents in University [NECT-11-0039]
- National Key Technology Research and Development Program of the Ministry of Science and Technology of China [2012BAH27B01, 2012BAH27B03]
- National High Technology Research and Development Program [2012AA121302]
Many methods have been developed to detect damaged buildings due to earthquake. However, little attention has been paid to analyze slightly affected buildings. In this letter, an unsupervised method is presented to detect earthquake-triggered roof-holes on rural houses from unmanned aerial vehicle (UAV) images. First, both orthomosaic and gradient images are generated from a set of UAV images. Then, a modified Chinese restaurant franchise model is used to learn an unsupervised model of the geo-object classes in the area by fusing both oversegmented orthomosaic and gradient images. Finally, roof-holes on rural houses are detected using the learned model. The performance of the proposed method is evaluated in terms of both qualitative and quantitative indexes.
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