Höhle et al., 2009 - Google Patents
Accuracy assessment of digital elevation models by means of robust statistical methodsHöhle et al., 2009
View PDF- Document ID
- 8040566567499991234
- Author
- Höhle J
- Höhle M
- Publication year
- Publication venue
- ISPRS Journal of Photogrammetry and Remote Sensing
External Links
Snippet
Measures for the accuracy assessment of Digital Elevation Models (DEMs) are discussed and characteristics of DEMs derived from laser scanning and automated photogrammetry are presented. Such DEMs are very dense and relatively accurate in open terrain. Built-up …
- 238000007619 statistical method 0 title abstract description 7
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/50—Computer-aided design
- G06F17/5009—Computer-aided design using simulation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
- G06Q10/063—Operations research or analysis
- G06Q10/0639—Performance analysis
- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30108—Industrial image inspection
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
- G06F17/18—Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
- G06T17/05—Geographic models
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10032—Satellite or aerial image; Remote sensing
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F2217/00—Indexing scheme relating to computer aided design [CAD]
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T11/00—2D [Two Dimensional] image generation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for a specific business sector, e.g. utilities or tourism
- G06Q50/08—Construction
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Höhle et al. | Accuracy assessment of digital elevation models by means of robust statistical methods | |
| Podobnikar | Methods for visual quality assessment of a digital terrain model | |
| Xu et al. | Quantification of uncertainty in aboveground biomass estimates derived from small-footprint airborne LiDAR | |
| US8793107B2 (en) | Accuracy-based significant point derivation from dense 3D point clouds for terrain modeling | |
| Di Baldassarre et al. | A technique for the calibration of hydraulic models using uncertain satellite observations of flood extent | |
| Yang et al. | What is the effect of LiDAR-derived DEM resolution on large-scale watershed model results? | |
| Diehl et al. | Improving flood hazard datasets using a low-complexity, probabilistic floodplain mapping approach | |
| Goulden et al. | Sensitivity of DEM, slope, aspect and watershed attributes to LiDAR measurement uncertainty | |
| Korhonen et al. | Estimation of tree crown volume from airborne lidar data using computational geometry | |
| Pai et al. | SWAT2009_LUC: A tool to activate the land use change module in SWAT 2009 | |
| Brandt | Modeling and visualizing uncertainties of flood boundary delineation: algorithm for slope and DEM resolution dependencies of 1D hydraulic models | |
| Long et al. | Accuracy assessment of mine walls’ surface models derived from terrestrial laser scanning | |
| Wilkes et al. | Using discrete‐return airborne laser scanning to quantify number of canopy strata across diverse forest types | |
| Kraus et al. | Local accuracy measures for digital terrain models | |
| Vauhkonen et al. | Improving species-specific plot volume estimates based on airborne laser scanning and image data using alpha shape metrics and balanced field data | |
| Straatsma et al. | Uncertainty in 2D hydrodynamic models from errors in roughness parameterization based on aerial images | |
| Podhorányi et al. | Inaccuracy introduced by LiDAR-generated cross sections and its impact on 1D hydrodynamic simulations | |
| Kodors | Point distribution as true quality of lidar point cloud | |
| Varo-Martínez et al. | Semi-automated stand delineation in Mediterranean Pinus sylvestris plantations through segmentation of LiDAR data: The influence of pulse density | |
| Boreggio et al. | Does the topographic data source truly influence the routing modelling of debris flows in a torrent catchment? | |
| Kędra et al. | Single-image photogrammetry for deriving tree architectural traits in mature forest stands: a comparison with terrestrial laser scanning | |
| Wallbank | WindSim validation study | |
| Hawryło et al. | How to adequately determine the top height of forest stands based on airborne laser scanning point clouds? | |
| Salekin et al. | Uncertainty in primary and secondary topographic attributes caused by digital elevation model spatial resolution | |
| Susetyo | Comparison of digital elevation modelling methods for urban environment |