Evaluation of selected edge detection techniques in remotely sensing images

Karantzalos, KG; Argialas, DP

dc.contributor.author	Karantzalos, KG	en
dc.contributor.author	Argialas, DP	en
dc.date.accessioned	2014-03-01T02:49:13Z
dc.date.available	2014-03-01T02:49:13Z
dc.date.issued	2002	en
dc.identifier.issn	0277786X	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/34422
dc.subject	Edge detection	en
dc.subject	Feature extraction	en
dc.subject	Image processing	en
dc.subject	Linear features	en
dc.subject	Remote sensing	en
dc.subject	Satellite image	en
dc.subject.other	Edge detection	en
dc.subject.other	Feature extraction	en
dc.subject.other	Image reconstruction	en
dc.subject.other	Imaging techniques	en
dc.subject.other	Laplace transforms	en
dc.subject.other	Mathematical models	en
dc.subject.other	Mathematical morphology	en
dc.subject.other	Mathematical operators	en
dc.subject.other	Edge extraction	en
dc.subject.other	Satellite images	en
dc.subject.other	Remote sensing	en
dc.title	Evaluation of selected edge detection techniques in remotely sensing images	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1117/12.463519	en
heal.identifier.secondary	http://dx.doi.org/10.1117/12.463519	en
heal.publicationDate	2002	en
heal.abstract	This paper describes the experience gained from the evaluation of selected automatic edge detection techniques applied to LANDSAT TM, SPOT HRV, IRS 1C and IKONOS images. Emphasis was given to the detection of man-made objects and linear features such as coastlines, roads and parcel boundaries in combination with selected preprocessing and postprocessing operations. As preprocessing Gaussian, adaptive and morphological operators were implemented and tested for image enhancement and smoothing. Edge extraction processing followed. First the Canny edge detector was applied. Then a morphological nonlinear Laplacian operator was applied and its zero-crossings yielded edge locations. Finally an edge detector resulting by overlaying two thresholded images from the Prewitt gradient, preserving edges appearing in both images, was applied. Postprocessing followed to eliminate noisy edges and restore edge connectivity through morphological operators. An analysis of the relative performance of the processing scheme indicated each detector's relation to noise (features at certain undesired scales, shadows along roads boundaries, irrelevant edges within parcel boundaries) and the set of specific parameters needed for proper enhancement and smoothing before edge extraction.	en
heal.journalName	Proceedings of SPIE - The International Society for Optical Engineering	en
dc.identifier.doi	10.1117/12.463519	en
dc.identifier.volume	4885	en
dc.identifier.spage	102	en
dc.identifier.epage	110	en