Automatic extraction of tree rows and hedges by data integration techniques

Yongjun Zhang; Hongchao Bin

doi:10.1117/12.654875

3 November 2005 Automatic extraction of tree rows and hedges by data integration techniques

Yongjun Zhang, Hongchao Bin

Proceedings Volume 6043, MIPPR 2005: SAR and Multispectral Image Processing; 60430Z (2005) https://doi.org/10.1117/12.654875
Event: MIPPR 2005 SAR and Multispectral Image Processing, 2005, Wuhan, China

Abstract

Data integration is a very important strategy to obtain optimum solutions in geo-scientific analysis, 3D scene modelling and visualization. This paper mainly focuses on the integration of GIS data, stereo aerial imagery and DSM to derive automatically tree rows and hedges in the open landscape. The roads, field boundaries, rivers and railways from GIS database also represent potential search areas for extracting tree rows and hedges, which are often located parallel and near to them. Different approaches, such as image segmentation by CIE L*a*b, edge extraction, linking, line grouping, space intersection and 3D verifying with DSM, are combined together to extract the objects of interest. The extracted information of tree rows and hedges can be used in many applications, such as deriving of wind erosion risk fields for soil monitoring and protection.

Citation Download Citation

Yongjun Zhang and Hongchao Bin "Automatic extraction of tree rows and hedges by data integration techniques", Proc. SPIE 6043, MIPPR 2005: SAR and Multispectral Image Processing, 60430Z (3 November 2005); https://doi.org/10.1117/12.654875

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