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Erschienen in:
New Real-Time Landslide Monitoring System in Polish Carpathians Kapitel lesen Erstes Kapitel lesen

2013 | OriginalPaper | Buchkapitel

Advanced Image Analysis for Automated Mapping of Landslide Surface Fissures

verfasst von : A. Stumpf, U. Niethhammer, S. Rothmund, A. Mathieu, J. P. Malet, N. Kerle, M. Joswig

Erschienen in: Landslide Science and Practice

Verlag: Springer Berlin Heidelberg

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Abstract

Surface fissures are potential indicators of slope instabilities and considerably influence infiltration characteristics of the soil. The increasing availability of unmanned aerial vehicles (UAVs) enables the observation of surface features at unprecedented detail and this study develops an image processing method combining Gaussian filters and object-oriented image analysis to map such features in very-high resolution (VHR) aerial images largely automatically. At three different time steps the results of the technique are compared with expert elaborated maps.

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Vorheriges Kapitel Landslide-Related PS Data Interpretation by Means of Different Techniques
Nächstes Kapitel Portable Ring Shear Apparatus and Its Application
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Metadaten
Titel
Advanced Image Analysis for Automated Mapping of Landslide Surface Fissures
verfasst von
A. Stumpf
U. Niethhammer
S. Rothmund
A. Mathieu
J. P. Malet
N. Kerle
M. Joswig
Copyright-Jahr
2013
Verlag
Springer Berlin Heidelberg
Buch
Landslide Science and Practice

Print ISBN: 978-3-642-31444-5

Electronic ISBN: 978-3-642-31445-2

Copyright-Jahr: 2013

DOI
https://doi.org/10.1007/978-3-642-31445-2_46