Please use this identifier to cite or link to this item:
|Title:||Line-segment vectorization on high-resolution satellite images||Authors:||Yuan, B.
|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|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Jan 20, 2022
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.