基于数据融合的行树与篱笆三维信息自动提取

基金项目: 国家自然科学基金资助项目(40301041)；德国BMBF和DFG资助项目(03F0374A)

详细信息

Automatic Extraction of Tree Rows and Hedges by Data Integration

¹ School of Remote Sensing and Information Engineering, Wuhan University, 129 Luoyu Road, Wuhan 430079, China

Funds: 国家自然科学基金资助项目(40301041)；德国BMBF和DFG资助项目(03F0374A)

摘要: 通过融合GIS数据、DSM和CIR立体影像等不同数据源,自动提取行树与篱笆的三维信息。综合采用了影像分割、边缘提取、直线段连接与编组、DSM三维验证等手段,成功地从航空立体像对中提取出目标信息。所提取的行树与篱笆信息可以应用于GIS数据更新、土壤监测与保护、风侵蚀的危害计算等。
- 信息提取 /
- 数据融合 /
- 影像分析 /
- 行树与篱笆 /
- 影像分割
Abstract: This paper mainly focuses on the integration of GIS data, DSM information and CIR stereo imagery to derive automatically tree rows and hedges in the open landscape. Different approaches, such as segmentation by CIE L*a*b, edge extraction, linking and grouping, and verifying with 3D information, are successfully integrated to extract the objects of interest. The extracted tree rows and hedges can be used to update the GIS database, to derive wind erosion risk fields for soil monitoring and preservation.
- information extraction /
- data integration /
- image analysis /
- tree rows and hedges /
- image segmentation