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Dirk Tiede
Dirk Tiede
University of Salzburg Department of Geoinformatics
Verified email at sbg.ac.at - Homepage
Title
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Cited by
Year
Geographic object-based image analysis–towards a new paradigm
T Blaschke, GJ Hay, M Kelly, S Lang, P Hofmann, E Addink, RQ Feitosa, ...
ISPRS journal of photogrammetry and remote sensing 87, 180-191, 2014
18002014
ESP: a tool to estimate scale parameter for multiresolution image segmentation of remotely sensed data
L Drǎguţ, D Tiede, SR Levick
International Journal of Geographical Information Science 24 (6), 859-871, 2010
10242010
Automated parameterisation for multi-scale image segmentation on multiple layers
L Drăguţ, O Csillik, C Eisank, D Tiede
ISPRS Journal of photogrammetry and Remote Sensing 88, 119-127, 2014
7382014
Evaluation of different machine learning methods and deep-learning convolutional neural networks for landslide detection
O Ghorbanzadeh, T Blaschke, K Gholamnia, SR Meena, D Tiede, J Aryal
Remote Sensing 11 (2), 196, 2019
7112019
A systematic comparison of different object-based classification techniques using high spatial resolution imagery in agricultural environments
M Li, L Ma, T Blaschke, L Cheng, D Tiede
International journal of applied earth observation and geoinformation 49, 87-98, 2016
2352016
Evaluation of feature selection methods for object-based land cover mapping of unmanned aerial vehicle imagery using random forest and support vector machine classifiers
L Ma, T Fu, T Blaschke, M Li, D Tiede, Z Zhou, X Ma, D Chen
ISPRS International Journal of Geo-Information 6 (2), 51, 2017
2322017
Application of hydrodynamic chromatography-ICP-MS to investigate the fate of silver nanoparticles in activated sludge
K Tiede, ABA Boxall, X Wang, D Gore, D Tiede, M Baxter, H David, ...
Journal of Analytical Atomic Spectrometry 25 (7), 1149-1154, 2010
2222010
vLATE Extension für ArcGIS–vektorbasiertes Tool zur quantitativen Landschaftsstrukturanalyse
S Lang, D Tiede
ESRI Anwenderkonferenz, 2003
210*2003
A robust size-characterisation methodology for studying nanoparticle behaviour in ‘real’environmental samples, using hydrodynamic chromatography coupled to ICP-MS
K Tiede, ABA Boxall, D Tiede, SP Tear, H David, J Lewis
Journal of Analytical Atomic Spectrometry 24 (7), 964-972, 2009
1962009
Big Earth data: disruptive changes in Earth observation data management and analysis?
M Sudmanns, D Tiede, S Lang, H Bergstedt, G Trost, H Augustin, ...
International Journal of Digital Earth 13 (7), 832-850, 2020
1872020
Evaluation of different machine learning algorithms for scalable classification of tree types and tree species based on Sentinel-2 data
M Wessel, M Brandmeier, D Tiede
Remote Sensing 10 (9), 1419, 2018
1702018
UAV-based forest health monitoring: A systematic review
S Ecke, J Dempewolf, J Frey, A Schwaller, E Endres, HJ Klemmt, D Tiede, ...
Remote Sensing 14 (13), 3205, 2022
1432022
A full GIS-based workflow for tree identification and tree crown delineation using laser scanning
D Tiede, G Hochleitner, T Blaschke
ISPRS Workshop CMRT 5 (2930.08), 2005, 2005
1272005
Integrated assessment of the environmental impact of an IDP camp in Sudan based on very high resolution multi-temporal satellite imagery
M Hagenlocher, S Lang, D Tiede
Remote Sensing of Environment 126, 27-38, 2012
1162012
Building extraction from airborne laser scanning data: An analysis of the state of the art
I Tomljenovic, B Höfle, D Tiede, T Blaschke
Remote Sensing 7 (4), 3826-3862, 2015
1132015
Earth observation (EO)-based ex post assessment of internally displaced person (IDP) camp evolution and population dynamics in Zam Zam, Darfur
S Lang, D Tiede, D Hölbling, P Füreder, P Zeil
International Journal of Remote Sensing 31 (21), 5709-5731, 2010
1022010
Evaluating fuzzy operators of an object-based image analysis for detecting landslides and their changes
B Feizizadeh, T Blaschke, D Tiede, MHR Moghaddam
Geomorphology 293, 240-254, 2017
912017
Assessing global Sentinel-2 coverage dynamics and data availability for operational Earth observation (EO) applications using the EO-Compass
M Sudmanns, D Tiede, H Augustin, S Lang
International journal of digital earth 13 (7), 768-784, 2020
892020
Object-based change detection in urban areas: The effects of segmentation strategy, scale, and feature space on unsupervised methods
L Ma, M Li, T Blaschke, X Ma, D Tiede, L Cheng, Z Chen, D Chen
Remote Sensing 8 (9), 761, 2016
892016
Object-based class modeling for cadastre-constrained delineation of geo-objects
D Tiede, S Lang, F Albrecht, D Hölbling
Photogrammetric Engineering & Remote Sensing 76 (2), 193-202, 2010
872010
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