[1]DU Haoguo,ZHANG Fanghao,LU Yongkun,et al.Research on Object-oriented Building Structure Classification Extraction Method Based on UAV Image[J].Journal of Seismological Research,2021,44(02):262-274.
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Research on Object-oriented Building Structure Classification Extraction Method Based on UAV Image
Journal of Seismological Research[ISSN 1000-0666/CN 53-1062/P] Volume:
44
Number of periods:
2021 02
Page number:
262-274
Column:
Public date:
2021-06-30
- Title:
- Research on Object-oriented Building Structure Classification Extraction Method Based on UAV Image
- Keywords:
- building structure classification; high-resolution UAV image; object-oriented classification; DSM; shape structure; spectral characteristics
- CLC:
- P315.94
- DOI:
- -
- Abstract:
- In order to accurately recognize the building structure in remote sensing images,we proposed a method of extracting building structure at levels based on spectrum,shape,space,texture and digital surface model(DSM)[KG-*3].Then,by the help of high-resolution images taken by UAVs in the research area,we make object-oriented analysis.Firstly,we do multi-scale segmentation of the images in order to extract the objects according to the optimal segmentation and the merger index.Then,we classify building structures according to rules,training samples and DSM respectively.Finally,we combined the three classification methods,and get new results of the buildings structures.Then we compared the result from each method with the one from the combined method.We found that the semi-supervised classification based on rule+sample+DSM has the lowest error rate and omission ratio,and optimal Kappa coefficient.
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GB 50096—2011,住宅设计规范[S].
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Last Update:
2021-06-30