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An International Comparison of Individual Tree Detection and Extraction Using Airborne Laser Scanning
TLDR
The accuracy of tree height, after removing gross errors, was better than 0.5 m in all tree height classes with the best methods investigated in this experiment, suggesting minimum curvature-based tree detection accompanied by point cloud-based cluster detection for suppressed trees is a solution that deserves attention in the future. Expand
Discrete Optimization for Optical Flow
TLDR
Three different strategies are investigated, each able to reduce computation and memory demands by several orders of magnitude, and their combination allows us to estimate large-displacement optical flow both accurately and efficiently and demonstrates the potential of discrete optimization for optical flow. Expand
Crowdsourcing geospatial data
TLDR
While traditional mapping is nearly exclusively coordinated and often also carried out by large organisations, crowdsourcing geospatial data refers to generating a map using informal social networks and web 2.0 technology. Expand
EVALUATION OF AUTOMATIC ROAD EXTRACTION
TLDR
The applicability of the evaluation method is proven and results of a comparative evaluation of three different automatic road extraction approaches are presented, showing the overall status of the road extractors, as well as the individual strengths and weaknesses of each individual approach. Expand
Joint 3d Estimation of Vehicles and Scene Flow
TLDR
A novel unified approach which reasons jointly about 3D scene flow as well as the pose, shape and motion of vehicles in the scene is proposed and the results provide a prove of concept and demonstrate the usefulness of the method. Expand
Relevance assessment of full-waveform lidar data for urban area classification
TLDR
The results show that the echo amplitude as well as two features computed from the radiometric calculation of full-waveform data, namely the cross-section and the backscatter coefficient, significantly contribute to the high classification accuracies reported in this paper. Expand
EMPIRICAL EVALUATION OF AUTOMATICALLY EXTRACTED ROAD AXES
Internal self-diagnosis and external evaluation of the obt ained results are of major importance for the relevance of any automatic system for practical appl ications. Obviously, this statement isExpand
HIERARCHICAL HIGHER ORDER CRF FOR THE CLASSIFICATION OF AIRBORNE LIDAR POINT CLOUDS IN URBAN AREAS
Abstract. We propose a novel hierarchical approach for the classification of airborne 3D lidar points. Spatial and semantic context is incorporated via a two-layer Conditional Random Field (CRF). TheExpand
Topography of Mars from global mapping by HRSC high-resolution digital terrain models and orthoimages: Characteristics and performance
Abstract We report on the results of the Mars Express High-Resolution Stereo Camera (HRSC) experiment pertaining to one of its major aims, mapping the surface of Mars by high-resolution digitalExpand
Aspects of generating precise digital terrain models in the Wadden Sea from lidar–water classification and structure line extraction
Abstract The Wadden Sea is a unique habitat formed by the strong influence of tidal currents. Twice a day the area is flooded and falls dry afterwards. Due to the force of tidal streams, strongExpand
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