Technology and Methodology |
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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) |
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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.
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Keywords
SIR-C
Polarization synthesis
Target decomposition
Land cover
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Issue Date: 17 June 2011
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