Towards automatic detection of coastlines from satellite imagery

Karantzalos, K; Argialas, D; Georgopoulos, A

dc.contributor.author	Karantzalos, K	en
dc.contributor.author	Argialas, D	en
dc.contributor.author	Georgopoulos, A	en
dc.date.accessioned	2014-03-01T02:49:11Z
dc.date.available	2014-03-01T02:49:11Z
dc.date.issued	2002	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/34391
dc.subject	Automatic Detection	en
dc.subject	Edge Detection	en
dc.subject	Linear Transformation	en
dc.subject	Nonlinear Transformation	en
dc.subject	Satellite Imagery	en
dc.title	Towards automatic detection of coastlines from satellite imagery	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/ICDSP.2002.1028235	en
heal.identifier.secondary	http://dx.doi.org/10.1109/ICDSP.2002.1028235	en
heal.publicationDate	2002	en
heal.abstract	An approach towards automatic coastline detection from satellite imagery through edge detection techniques is presented. Linear transformations, such as Gaussian filtering and nonlinear transformations, such as median, adaptive and morphological filtering, are combined towards image smoothing and enhancement. Two edge detectors are applied, a morphological Laplacian operator and the classical Canny threshold detector. The coastline connectivity is recovered with a	en
heal.journalName	International Conference on Digital Signal Processing	en
dc.identifier.doi	10.1109/ICDSP.2002.1028235	en