Building Extraction from High-Resolution Remotely Sensed Imagery Based on Multi-subgraph Matching |
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| Authors: | Wenzao Shi Zhengyuan Mao Jinqing Liu |
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| Affiliation: | 1.Fujian Provincial Engineering Technology Research Center of Photoelectric Sensing Application, College of Photonic and Electronic Engineering,Fujian Normal University,Fuzhou,People’s Republic of China;2.Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology,Fujian Normal University,Fuzhou,People’s Republic of China;3.Key Lab of Spatial Data Mining and Information Sharing of Ministry of Education,Fuzhou University,Fuzhou,People’s Republic of China;4.National Engineering Research Centre of Geospatial Information Technology,Fuzhou University,Fuzhou,People’s Republic of China;5.Spatial Information Engineering Research Centre of Fujian Province,Fuzhou University,Fuzhou,People’s Republic of China |
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| Abstract: | Building extraction is still a difficult issue in the field of remote sensing. In order to extract the buildings with similar structures efficiently, an algorithm based on multi-subgraph matching is proposed using only the panchromatic high-resolution remotely sensed imagery (RSI). Firstly, scale-invariant feature transform feature is detected within both RSI and building template, and the corresponding graphs are constructed. Then, binary matching rules are defined to reconstruct the graphs to reduce the complexity. At last, according to the homogeneity of the building top, disconnected subgraphs are isolated from the reconstructed graphs. To improve the algorithm accuracy, the matched subgraphs are optimized on the basis of the differences in the structure and size. For verifying the validity of the proposed method, nine representatives are chosen from GF-2 images covering Guangzhou, China. Experimental results show that the precision and recall of the proposed method are 97.73% and 87.16%, respectively, and its overall performance F1 is higher than the three other similar methods. |
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