Please use this identifier to cite or link to this item: https://doi.org/10.1109/IGARSS.2010.5649942
Title: Line-segment vectorization on high-resolution satellite images
Authors: Yuan, B. 
Liew, S.C. 
Kwoh, L.K. 
Keywords: Building extraction
Line-segment vectorization
Muff Transform
Wallace parameterization
Issue Date: 2010
Citation: Yuan, B., Liew, S.C., Kwoh, L.K. (2010). Line-segment vectorization on high-resolution satellite images. International Geoscience and Remote Sensing Symposium (IGARSS) : 457-459. ScholarBank@NUS Repository. https://doi.org/10.1109/IGARSS.2010.5649942
Abstract: Optical remote sensing images of urban areas usually contain large amount of line-segments that represent the boundaries of man-made objects. The extraction and vectorization of these line-segments are desirable for many applications, such as digital city reconstruction. This paper presents a "Sweep & Scan" algorithm for the extraction and vectorization of these line-segments. The "Sweep" part of the algorithm uses the Wallace parameterization of the Muff Transform to identify straight lines globally, and the "Scan" part uses edge continuation and intensity correlation to identify line-segments locally. © 2010 IEEE.
Source Title: International Geoscience and Remote Sensing Symposium (IGARSS)
URI: http://scholarbank.nus.edu.sg/handle/10635/115449
ISBN: 9781424495658
DOI: 10.1109/IGARSS.2010.5649942
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