DocumentCode
2232693
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
fYear
2012
fDate
22-27 July 2012
Firstpage
5450
Lastpage
5453
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location
Munich
ISSN
2153-6996
Print_ISBN
978-1-4673-1160-1
Electronic_ISBN
2153-6996
Type
conf
DOI
10.1109/IGARSS.2012.6352373
Filename
6352373
Link To Document