An object-oriented environment for linear feature extraction from aerial images.

dc.contributor.advisor	Ionescu, Dan,
dc.contributor.author	Sasarman, Michael Mihai A.
dc.date.accessioned	2009-03-25T19:44:54Z
dc.date.available	2009-03-25T19:44:54Z
dc.date.created	1996
dc.date.issued	1996
dc.degree.level	Masters
dc.degree.name	M.A.Sc.
dc.description.abstract	We propose a new method for the detection of road networks in SPOT$\sp1$ images, with possible applications in automated cartography. This method is based on the integration of image segmentation techniques, in particular the watershed and Duda transformations, in a parallel Single Instruction Stream Multiple Data Stream (SIMD) environment. The Duda Road Operator provides the marking function for the watershed transformation of the image. Examples involving SPOT images are used and the resulting road networks are shown. ftn$\sp1$Systeme Probatoire d'Observation de la Terre.
dc.format.extent	180 p.
dc.identifier.citation	Source: Masters Abstracts International, Volume: 36-02, page: 0602.
dc.identifier.isbn	9780612220157
dc.identifier.uri	http://hdl.handle.net/10393/9495
dc.identifier.uri	http://dx.doi.org/10.20381/ruor-7828
dc.publisher	University of Ottawa (Canada)
dc.subject.classification	Engineering, Electronics and Electrical.
dc.title	An object-oriented environment for linear feature extraction from aerial images.
dc.type	Thesis

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