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15 November 2007 Road information extraction from IKONOS imagery based on clustering analysis and mathematical morphology
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Proceedings Volume 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition; 67860Q (2007) https://doi.org/10.1117/12.746249
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China
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.
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Yang Song, Youchuan Wan, Shaohong Shen, and Hong Wang "Road information extraction from IKONOS imagery based on clustering analysis and mathematical morphology", Proc. SPIE 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition, 67860Q (15 November 2007); https://doi.org/10.1117/12.746249
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