Soerge, U.
* 2007: Estimation of the Lidar Height Offset in Coastal Vegetated Areas
Soergel, U.[Uwe]
* 2000: Remembering Both the Machine and the Crowd When Sampling Points: Active Learning for Semantic Segmentation of ALS Point Clouds
* 2000: Towards Urban Tree Recognition in Airborne Point Clouds with Deep 3d Single-shot Detectors
* 2001: Segmentation of LIDAR and InSAR Elevation Data for Building Reconstruction
* 2002: Grouping salient scatterers in InSAR data for recognition of industrial buildings
* 2002: Utilization of LIDAR DEM for SAR Image Analysis in Dense Urban Areas
* 2003: Potential and limits of InSAR data for building reconstruction in built-up areas
* 2005: Potential of Building Extraction from Multi-Aspect High-Resolution Amplitude SAR Data
* 2005: Reconstruction of Buildings from Interferometric SAR Data of Built-Up Areas
* 2006: Extraction of Bridges over Water in Multi-Aspect High-Resolution InSAR Data
* 2006: Perceptual grouping for automatic detection of man-made structures in high-resolution SAR data
* 2007: Building Recognition From Multi-Aspect High-Resolution InSAR Data in Urban Areas
* 2007: InSAR Phase Profiles at Building Location
* 2008: Analysis of Full-Waveform LIDAR Data for an Accurate Classification of Urban Areas
* 2008: Approach for Filtering LIDAR Data in Coastal Vegetated Areas Using Intensity Information and Multiple Echoes, An
* 2008: Aspects of generating precise digital terrain models in the Wadden Sea from lidar-water classification and structure line extraction
* 2008: Building Reconstruction from InSAR Data by Detail Analysis Of Phase Profiles
* 2008: Real-Time Orientation of a PYZ-Camera Based on Pedestrian Detection in Video Data of Wide and Complex Scenes
* 2009: Accuracy Assessment of Building Height Estimation from a High Resolution Optical Image Combined with a Simulated SAR Image
* 2009: Building recognition based on airborne and space borne InSAR data
* 2009: Fusion of Optical and InSAR Features for Building Recognition in Urban Areas
* 2009: Lidar waveform modeling using a marked point process
* 2009: Multi-temporal Classification for Crop Discrimination using TerraSAR-X Spotlight images
* 2009: Stereo analysis of high-resolution SAR images for building height estimation in cases of orthogonal aspect directions
* 2009: stochastic approach for modelling airborne lidar waveforms, A
* 2010: Extraction of building polygons from SAR images: Grouping and decision-level in the GESTALT system
* 2010: Marked Point Process for Modeling Lidar Waveforms, A
* 2010: New Straight Line Reconstruction Methodology From Multi-Spectral Stereo Aerial Images, A
* 2010: Radar Remote Sensing of Urban Areas
* 2010: Urban building detection from optical and InSAR features exploiting context
* 2011: Conditional Random Fields for Urban Scene Classification with Full Waveform LiDAR Data
* 2011: In-Strip Matching and Reconstruction of Line Segments from UHR Aerial Image Triplets
* 2011: New Binary Encoding Algorithm for the Simultaneous Region-based Classification of Hyperspectral Data and Digital Surface Models, A
* 2012: Conditional Random Fields For Lidar Point Cloud Classification In Complex Urban Areas
* 2012: Grouping of Persistent Scatterers in high-resolution SAR data of urban scenes
* 2012: Matching of straight line segments from aerial stereo images of urban areas
* 2012: Matching Persistent Scatterers To Buildings
* 2012: Theme Issue Innovative applications of SAR interferometry from modern satellite sensors
* 2012: Validation of DEMS Derived from High Resolution SAR Data: A Case Study on Barcelona
* 2013: Monitoring and change detection of Wadden Sea areas using Lidar data
* 2013: Monitoring Concepts for Coastal Areas Using LIDAR Data
* 2013: Opportunities of Airborne Laser Bathymetry for the Monitoring of the Sea Bed on the Baltic Sea Coast
* 2013: Rapidmap: rapid mapping and information dissemination for disasters using remote sensing and geoinformation
* 2013: TanDEM-X Mission: Overview and Evaluation of intermediate Results
* 2013: Using Lattice Topology Information to Investigate Persistent Scatterers at Facades in Urban Areas
* 2014: Combining High-Resolution Optical and InSAR Features for Height Estimation of Buildings With Flat Roofs
* 2014: Contextual classification of lidar data and building object detection in urban areas
* 2014: Extraction of fluvial networks in lidar data using marked point processes
* 2014: Influence of temporal baseline on the vertical absolute accuracies of TSX HS interferometric DSMs: Case Study on Berlin
* 2014: Rapid Disaster Analysis based on Remote Sensing: A Case Study about the Tohoku Tsunami Disaster 2011
* 2015: Change Detection Based on Persistent Scatterer Interferometry: Case Study of Monitoring an Urban Area
* 2015: Contextual Classification of Point Clouds Using a Two-Stage CRF
* 2015: Graph Based Model for the Detection of Tidal Channels Using Marked Point Processes, A
* 2015: Matching Persistent Scatterers to optical oblique images
* 2015: Rapid Disaster Analysis Based on SAR Techniques
* 2015: Theme issue High Resolution Earth Imaging for Geospatial Information
* 2016: 4D change detection based on persistent scatterer interferometry
* 2016: Assignment of Persistent Scatterers to Buildings
* 2016: Hierarchical Higher Order CRF for the Classification of Airborne Lidar Point Clouds In Urban Areas
* 2016: Network Detection In Raster Data Using Marked Point Processes
* 2017: Higher Order Dynamic Conditional Random Fields Ensemble for Crop Type Classification in Radar Images
* 2017: Object-Based Semantic Classification Method for High Resolution Remote Sensing Imagery Using Ontology, An
* 2018: Efficient Parallel Multi-Scale Segmentation Method for Remote Sensing Imagery, An
* 2018: Hyperspectral and LiDAR Fusion Using Deep Three-Stream Convolutional Neural Networks
* 2019: Evaluation of a Psi-based Change Detection Regarding Simulation, Comparison, and Application
* 2019: Nonlinear Feature Normalization for Hyperspectral Domain Adaptation and Mitigation of Nonlinear Effects
* 2019: Workable Monitoring System Based On Spaceborne Sar Images for Mining Areas - Stings Development Project
* 2022: Individual Tree Detection in Urban ALS Point Clouds with 3D Convolutional Networks
* 2022: Radargrammetric DSM Generation by Semi-Global Matching and Evaluation of Penalty Functions
Includes: Soergel, U.[Uwe] Soergel, U.
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