[1]CHEN Jin,XI Congwang,CHEN Wenkai,et al.Research on Spatialization of Buildings in Longnan City,Gansu Province Based on Miniature Unmanned Aerial Vehicle and High Resolution Satellite Images[J].Journal of Seismological Research,2018,41(02):192-200.
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Research on Spatialization of Buildings in Longnan City,Gansu Province Based on Miniature Unmanned Aerial Vehicle and High Resolution Satellite Images
Journal of Seismological Research[ISSN 1000-0666/CN 53-1062/P] Volume:
41
Number of periods:
2018 02
Page number:
192-200
Column:
Public date:
2018-04-20
- Title:
- Research on Spatialization of Buildings in Longnan City,Gansu Province Based on Miniature Unmanned Aerial Vehicle and High Resolution Satellite Images
- Keywords:
- unmanned aerial vehicle(UAV); high resolution satellite image; residential area; building type; spatialization
- CLC:
- P315.9; TP751
- DOI:
- -
- Abstract:
- Based on miniature unmanned aerial vehicle(UAV),high resolution satellite images and comparison between field survey data and remote sensing image,we build a technical route to get building data through UAV and high resolution satellite images,which is validated by taking Longnan city as the study area. The research result shows that the combined use of unmanned aerial vehicle and tilt photography can lead to a better result for building recognition,especially for the different types of buildings with similar roofs. The establishment of building interpretation signs can lead to a more reliable result with the help of geographical environment characteristics,building arrangement,building area,building shadows and other factors. The building types of Longnan city are mainly civil(including wood framestructure,brick-wood structure,brick-concrete structure,frame structure,and the proportion of each type reaches 19.25%(civil structure),44.29%(brick-wood),31.32%(brick-concrete structure),5.14%(frame structure),respectively. The accuracy range of the interpretation varies from -23.92% to 25.28%. It is feasible to obtain the residential building data for the update of the earthquake emergency database based on UAV and the satellite remote sensing images though there is some errors.
- References:
- -
- Similar References:
Memo
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Last Update:
2018-04-23