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

Ourania Mavrantza; Demetre P. Argialas

doi:10.1117/12.463275

14 March 2003 Implementation and evaluation of spatial filtering and edge detection techniques for lineament mapping: case study - Alevrada, Central Greece

Ourania Mavrantza, Demetre P. Argialas

Author Affiliations +

Proceedings Volume 4886, Remote Sensing for Environmental Monitoring, GIS Applications, and Geology II; (2003) https://doi.org/10.1117/12.463275
Event: International Symposium on Remote Sensing, 2002, Crete, Greece

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.

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Ourania Mavrantza and Demetre P. Argialas "Implementation and evaluation of spatial filtering and edge detection techniques for lineament mapping: case study - Alevrada, Central Greece", Proc. SPIE 4886, Remote Sensing for Environmental Monitoring, GIS Applications, and Geology II, (14 March 2003); https://doi.org/10.1117/12.463275

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