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In the tension between large-scale analysis and accuracy - Identifying and analysing intra-urban (sub-)centre structures comparing official 3D-building models and TanDEM-X nDSMs.

, , , , , , , , and . Comput. Environ. Urban Syst., (June 2023)

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Land use modeling in North Rhine-Westphalia with interaction and scaling laws., , , and . JURSE, page 1-4. IEEE, (2017)Classification of urban structural types with multisource data and structured models., , , , and . JURSE, page 1-4. IEEE, (2015)Deep Relearning in the Geospatial Domain for Semantic Remote Sensing Image Segmentation., , , , , and . IEEE Geosci. Remote. Sens. Lett., (2022)Evaluating the use of uncertainty visualization for exploratory analysis of land cover change: A qualitative expert user study., , , , , , , and . Comput. Geosci., (2015)Comparison of selected impervious surface products derived from remote sensing data - A case study for the city of Munich., , , , and . JURSE, page 225-228. IEEE, (2011)Investigating the Applicability of Cartosat-1 DEMs and Topographic Maps to Localize Large-Area Urban Mass Concentrations., , , and . IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 7 (10): 4138-4152 (2014)Performance Evaluation for 3-D City Model Generation of Six Different DSMs From Air- and Spaceborne Sensors., , , and . IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 5 (1): 59-70 (2012)Foreword to the Special Issue on Paving the Way for the Future of Urban Remote Sensing., , , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2020)Uncertainties of Human Perception in Visual Image Interpretation in Complex Urban Environments., , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2020)Unsupervised change detection in VHR remote sensing imagery - an object-based clustering approach in a dynamic urban environment., , , , and . Int. J. Appl. Earth Obs. Geoinformation, (2017)