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Proceedings Paper

Road information extraction from IKONOS imagery based on clustering analysis and mathematical morphology
Author(s): Yang Song; Youchuan Wan; Shaohong Shen; Hong Wang
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Paper Abstract

In this paper, we present an approach based on clustering analysis and mathematical morphology to extract road information from IKONOS imagery. This road information extraction approach includes several key modules: Texture analysis based on the multi-band image to obtain two new features of "MLen/MWid" to improve the road clustering analysis; In order to optimize the primal binary imagery of road object area resulting from clustering process, a texture analysis defined on binary imagery--"BATS" is presented, which ulteriorly expel the non-road pixels from the road area binary imagery; Furthermore, we carry out the process to extract road centerline network from the binary imagery of road object area based on mathematical morphology, through the process, several other methods, such as connectivity analysis, raster to vector transform, etc., are integrated.

Paper Details

Date Published: 15 November 2007
PDF: 6 pages
Proc. SPIE 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition, 67860Q (15 November 2007); doi: 10.1117/12.746249
Show Author Affiliations
Yang Song, Hubei Univ. of Economics (China)
Youchuan Wan, Wuhan Univ. (China)
Shaohong Shen, Wuhan Univ. (China)
Hong Wang, Hubei Univ. of Economics (China)


Published in SPIE Proceedings Vol. 6786:
MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition

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