Marc Wieland
Marc Wieland
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Performance evaluation of machine learning algorithms for urban pattern recognition from multi-spectral satellite images
M Wieland, M Pittore
Remote Sensing 6 (4), 2912-2939, 2014
Estimating building inventory for rapid seismic vulnerability assessment: Towards an integrated approach based on multi-source imaging
M Wieland, M Pittore, S Parolai, J Zschau, B Moldobekov, U Begaliev
Soil Dynamics and Earthquake Engineering 36, 70-83, 2012
Toward a rapid probabilistic seismic vulnerability assessment using satellite and ground-based remote sensing
M Pittore, M Wieland
Natural Hazards 68 (1), 115-145, 2013
Learning change from Synthetic Aperture Radar images: Performance evaluation of a Support Vector Machine to detect earthquake and tsunami-induced changes
M Wieland, W Liu, F Yamazaki
Remote Sensing 8 (10), 792, 2016
Multi-sensor cloud and cloud shadow segmentation with a convolutional neural network
M Wieland, Y Li, S Martinis
Remote Sensing of Environment 230, 111203, 2019
Exposure estimation from multi-resolution optical satellite imagery for seismic risk assessment
M Wieland, M Pittore, S Parolai, J Zschau
ISPRS International Journal of Geo-Information 1 (1), 69-88, 2012
Urban flood mapping with an active self-learning convolutional neural network based on TerraSAR-X intensity and interferometric coherence
Y Li, S Martinis, M Wieland
ISPRS Journal of Photogrammetry and Remote Sensing 152, 178-191, 2019
Large-area settlement pattern recognition from Landsat-8 data
M Wieland, M Pittore
ISPRS Journal of Photogrammetry and Remote Sensing 119, 294-308, 2016
Landslide susceptibility analysis in data-scarce regions: the case of Kyrgyzstan
A Saponaro, M Pilz, M Wieland, D Bindi, B Moldobekov, S Parolai
Bulletin of Engineering Geology and the Environment 74 (4), 1117-1136, 2015
Perspectives on global dynamic exposure modelling for geo-risk assessment
M Pittore, M Wieland, K Fleming
Natural Hazards 86 (1), 7-30, 2017
Object-based urban structure type pattern recognition from Landsat TM with a Support Vector Machine
M Wieland, Y Torres, M Pittore, B Benito
International Journal of Remote Sensing 37 (17), 4059-4083, 2016
Toward a loss‐driven earthquake early warning and rapid response system for Kyrgyzstan (central Asia)
M Pittore, D Bindi, J Stankiewicz, A Oth, M Wieland, T Boxberger, ...
Seismological Research Letters 85 (6), 1328-1340, 2014
Uncertainty and sensitivity analyses in seismic risk assessments on the example of Cologne, Germany
S Tyagunov, M Pittore, M Wieland, S Parolai, D Bindi, K Fleming, ...
Natural Hazards and Earth System Sciences (NHESS) 14 (6), 1625-1640, 2014
Exposure data development for the global earthquake model: inventory data capture tools
J Bevington, R Eguchi, H Crowley, M Wieland, M Pittore, S Parolai, ...
15th World Conference on Earthquake Engineering (Lisbon 2012), 2012
A multiscale exposure model for seismic risk assessment in Central Asia
M Wieland, M Pittore, S Parolai, U Begaliev, P Yasunov, S Tyagunov, ...
Seismological Research Letters 86 (1), 210-222, 2015
Towards a cross-border exposure model for the Earthquake Model Central Asia
M Wieland, M Pittore, S Parolai, U Begaliev, P Yasunov, J Niyazov, ...
Annals of Geophysics 58 (1), 2015
A spatio-temporal building exposure database and information life-cycle management solution
M Wieland, M Pittore
ISPRS International Journal of Geo-Information 6 (4), 114, 2017
Urban flood mapping using SAR intensity and interferometric coherence via Bayesian network fusion
Y Li, S Martinis, M Wieland, S Schlaffer, R Natsuaki
Remote Sensing 11 (19), 2231, 2019
First steps toward a reassessment of the seismic risk of the city of Dushanbe (Tajikistan)
M Pilz, D Bindi, T Boxberger, F Hakimov, B Moldobekov, S Murodkulov, ...
Seismological Research Letters 84 (6), 1026-1038, 2013
Improving post-earthquake insurance claim management: A novel approach to prioritize geospatial data collection
M Pittore, M Wieland, M Errize, C Kariptas, I Güngör
ISPRS International Journal of Geo-Information 4 (4), 2401-2427, 2015
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Artikler 1–20