Implementation and evaluation of spatial filtering and edge detection techniques for lineament mapping - Case study: Alevrada, Central Greece

Mavrantza, OD; Argialas, DP

dc.contributor.author	Mavrantza, OD	en
dc.contributor.author	Argialas, DP	en
dc.date.accessioned	2014-03-01T02:49:14Z
dc.date.available	2014-03-01T02:49:14Z
dc.date.issued	2002	en
dc.identifier.issn	0277786X	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/34427
dc.subject	Central Greece	en
dc.subject	Edge detection structural geology	en
dc.subject	Lineament extraction	en
dc.subject	Remote sensing	en
dc.subject	Spatial filtering	en
dc.subject.other	Algorithms	en
dc.subject.other	Anisotropy	en
dc.subject.other	Automation	en
dc.subject.other	Edge detection	en
dc.subject.other	Feature extraction	en
dc.subject.other	Geology	en
dc.subject.other	Mapping	en
dc.subject.other	Morphology	en
dc.subject.other	Radiometry	en
dc.subject.other	Satellites	en
dc.subject.other	Structural geology	en
dc.subject.other	Edge detection techniques	en
dc.subject.other	Faults and folds	en
dc.subject.other	Lineament mapping	en
dc.subject.other	Sedimentary terrain	en
dc.subject.other	Spatial filtering	en
dc.subject.other	Remote sensing	en
dc.title	Implementation and evaluation of spatial filtering and edge detection techniques for lineament mapping - Case study: Alevrada, Central Greece	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1117/12.463275	en
heal.identifier.secondary	http://dx.doi.org/10.1117/12.463275	en
heal.publicationDate	2002	en
heal.abstract	The aim of the present work was to implement and evaluate spatial filtering and automatic edge extraction techniques for assisting the geological lineament detection process. The selected study area was Alevrada in Central Greece, an area of sedimentary terrain with many faults and folds. A Landsat-7 ETM+ image of the study area was geometrically registered on the geological map, and then radiometrically corrected, to subtract the path radiance of the optical bands. Various linear and nonlinear spatial high pass operators (Laplacian, Ford, directional filters, Sobel, Kirsch) were applied and an interpretation of the lineaments was made. Certain edge detection algorithms introduced in medical imaging and scene analysis were applied and assessed, including the Canny multi-scale edge detector, the Rothwell edge detector based on edge topology and the Black's anisotropic diffusion edge detector, followed by morphological cleaning and pruning processes. The interpreted lineaments were qualitatively compared to the edge maps derived from the edge extraction algorithms, and a satisfactory matching was observed. This work provides a preliminary step towards lineament mapping automation.	en
heal.journalName	Proceedings of SPIE - The International Society for Optical Engineering	en
dc.identifier.doi	10.1117/12.463275	en
dc.identifier.volume	4886	en
dc.identifier.spage	417	en
dc.identifier.epage	428	en