Christian Geiß
Christian Geiß
German Aerospace Center (DLR) and University of Bonn
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Cited by
Cited by
Unsupervised change detection in VHR remote sensing imagery–an object-based clustering approach in a dynamic urban environment
T Leichtle, C Geiß, M Wurm, T Lakes, H Taubenböck
International Journal of Applied Earth Observation and Geoinformation 54, 15-27, 2017
How good is the map? A multi-scale cross-comparison framework for global settlement layers: Evidence from Central Europe
M Klotz, T Kemper, C Geiß, T Esch, H Taubenböck
Remote Sensing of Environment 178, 191-212, 2016
Remote sensing contributing to assess earthquake risk: from a literature review towards a roadmap
C Geiß, H Taubenböck
Natural hazards 68, 7-48, 2013
Remote monitoring to predict bridge scour failure using Interferometric Synthetic Aperture Radar (InSAR) stacking techniques
S Selvakumaran, S Plank, C Geiß, C Rossi, C Middleton
International journal of applied earth observation and geoinformation 73 …, 2018
Estimation of seismic building structural types using multi-sensor remote sensing and machine learning techniques
C Geiß, PA Pelizari, M Marconcini, W Sengara, M Edwards, T Lakes, ...
ISPRS journal of photogrammetry and remote sensing 104, 175-188, 2015
Remote sensing-based characterization of settlement structures for assessing local potential of district heat
C Geiß, H Taubenböck, M Wurm, T Esch, M Nast, C Schillings, T Blaschke
Remote Sensing 3 (7), 1447-1471, 2011
Large-area characterization of urban morphology—Mapping of built-up height and density using TanDEM-X and Sentinel-2 data
C Geiß, T Leichtle, M Wurm, PA Pelizari, I Standfuß, XX Zhu, E So, ...
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2019
Multi-sensor feature fusion for very high spatial resolution built-up area extraction in temporary settlements
PA Pelizari, K Spröhnle, C Geiß, E Schoepfer, S Plank, H Taubenböck
Remote sensing of environment 209, 793-807, 2018
A framework for large-scale mapping of human settlement extent from Sentinel-2 images via fully convolutional neural networks
C Qiu, M Schmitt, C Geiß, THK Chen, XX Zhu
ISPRS Journal of Photogrammetry and Remote Sensing 163, 152-170, 2020
A method for detecting buildings destroyed by the 2011 Tohoku earthquake and tsunami using multitemporal TerraSAR-X data
H Gokon, J Post, E Stein, S Martinis, A Twele, M Mück, C Geiß, ...
IEEE Geoscience and Remote Sensing Letters 12 (6), 1277-1281, 2015
Deep learning-based generation of building stock data from remote sensing for urban heat demand modeling
M Wurm, A Droin, T Stark, C Geiß, W Sulzer, H Taubenböck
ISPRS International Journal of Geo-Information 10 (1), 23, 2021
Assessment of seismic building vulnerability from space
C Geiß, H Taubenböck, S Tyagunov, A Tisch, J Post, T Lakes
Earthquake Spectra 30 (4), 1553-1583, 2014
Automated building characterization for seismic risk assessment using street-level imagery and deep learning
PA Pelizari, C Geiß, P Aguirre, H Santa María, YM Peña, H Taubenböck
ISPRS Journal of Photogrammetry and Remote Sensing 180, 370-386, 2021
Estimation of seismic vulnerability levels of urban structures with multisensor remote sensing
C Geiß, M Jilge, T Lakes, H Taubenböck
IEEE Journal of Selected Topics In Applied Earth Observations And Remote …, 2015
Normalization of TanDEM-X DSM data in urban environments with morphological filters
C Geiß, M Wurm, M Breunig, A Felbier, H Taubenböck
IEEE Transactions on Geoscience and Remote Sensing 53 (8), 4348-4362, 2015
Are the poor digitally left behind? Indications of urban divides based on remote sensing and twitter data
H Taubenböck, J Staab, XX Zhu, C Geiß, S Dech, M Wurm
ISPRS International Journal of Geo-Information 7 (8), 304, 2018
Class imbalance in unsupervised change detection–a diagnostic analysis from urban remote sensing
T Leichtle, C Geiß, T Lakes, H Taubenböck
International journal of applied earth observation and geoinformation 60, 83-98, 2017
Joint use of remote sensing data and volunteered geographic information for exposure estimation: evidence from Valparaíso, Chile
C Geiß, A Schauß, T Riedlinger, S Dech, C Zelaya, N Guzmán, MA Hube, ...
Natural Hazards 86, 81-105, 2017
Virtual support vector machines with self-learning strategy for classification of multispectral remote sensing imagery
C Geiß, PA Pelizari, L Blickensdörfer, H Taubenböck
ISPRS journal of photogrammetry and remote sensing 151, 42-58, 2019
On the effect of spatially non-disjoint training and test samples on estimated model generalization capabilities in supervised classification with spatial features
C Geiß, PA Pelizari, H Schrade, A Brenning, H Taubenböck
IEEE Geoscience and Remote Sensing Letters 14 (11), 2008-2012, 2017
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