Methodological Research on Road Extraction Based on Characteristics
of Road Greenbelts in Remotely Sensed Imagery
DONG Zhan-Jie, MAO Zheng-Yuan
(Key Laboratory of Spatial Data Mining and Information Sharing of Ministry of Education, Spatial Information Research Center, Fuzhou University, Fuzhou 350002, China)
Abstract:In consideration of characteristics of road greenbelts in high spatial resolution satellite imagery, this paper proposes a method combining features of shape with those of spatial distribution of road greenbelts to recognize road edges and road centerlines. The method first extracts greenbelt information from a NDVI image, then differentiates road greenbelts from other greenbelts by means of linear features of road greenbelts and their related shape indices such as area, principal axis direction, compactness, rectangularity, and ratio of width and length. After that, the road greenbelts adjacent to other greenbelts are separated by generating buffers of known road greenbelts as well as according to the spatial relationships between different greenbelts and between road greenbelts and other greenbelts. Finally road edges and road centerlines are extracted in accordance with the direction and distance characteristics of road greenbelts.
董占杰, 毛政元. 基于道路绿地特征的遥感影像道路信息提取方法研究[J]. 国土资源遥感, 2011, 23(2): 43-46.
DONG Zhan-Jie, MAO Zheng-Yuan. Methodological Research on Road Extraction Based on Characteristics
of Road Greenbelts in Remotely Sensed Imagery. REMOTE SENSING FOR LAND & RESOURCES, 2011, 23(2): 43-46.