Title :
Multi-scale line detection for landslide fissure mapping
Author :
Stumpf, André ; Lampert, Thomas A. ; Malet, Jean-Philippe ; Kerle, Norman
Author_Institution :
Lab. Image, Ville, Environ., Univ. de Strasbourg, Strasbourg, France
Abstract :
Surface fissures are important indicators for slope instability and their patterns reveal information about the distribution of strain and mechanical processes. The increasing availability of sub-decimeter resolution aerial images may enable the detection and mapping of such features with imagery. This study combines Gaussian matched filters and first order derivates in a multi-scale framework to address the semi-automatic detection of surface cracks with variable sizes. The accuracy of the detector was assessed with two expert mappings and compared to a corresponding single scale approach.
Keywords :
Gaussian processes; cracks; edge detection; geomorphology; geophysical image processing; image resolution; matched filters; terrain mapping; Gaussian matched filter; feature detection; feature mapping; first order derivate; fissure pattern; landslide fissure mapping; mechanical process; multiscale line detection; semiautomatic detection; slope instability; strain distribution; subdecimeter resolution aerial image; surface crack; surface fissure; Detectors; Earth; Feature extraction; Filtering theory; Matched filters; Surface treatment; Terrain factors; landslide; matched filters; surface cracks; unmanned aerial vehicles;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location :
Munich
Print_ISBN :
978-1-4673-1160-1
Electronic_ISBN :
2153-6996
DOI :
10.1109/IGARSS.2012.6352373