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

Paper Details

Date Published: 14 March 2003
PDF: 12 pages
Proc. SPIE 4886, Remote Sensing for Environmental Monitoring, GIS Applications, and Geology II, (14 March 2003); doi: 10.1117/12.463275
Show Author Affiliations
Ourania Mavrantza, National Technical Univ. of Athens (United States)
Demetre P. Argialas, National Technical Univ. of Athens (United States)

Published in SPIE Proceedings Vol. 4886:
Remote Sensing for Environmental Monitoring, GIS Applications, and Geology II
Manfred Ehlers, Editor(s)

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