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3D FLOOD INFORMATION FROM SAR AS A MEANS FOR REDUCING UNCERTAINTIES IN FLOOD INUNDATION MODELING
Floods SAR Imagery Cartography Distributed Modeling Calibration Uncertainties
2015/12/26
SAR images of river inundation prove to be very relevant for operational flood management. However, common exploitation of satellite images of floods is generally restricted to a flood extent extracti...
Robust and Automatic Vanishing Points Detection with Their Uncertainties from a Single Uncalibrated Image, by Planes Extraction on the Unit Sphere
Photogrammetry Geometry Vanishing points extraction Image Orientation Error estimation
2015/12/4
This paper deals with the retrieval of vanishing points in uncalibrated images. Many authors did work on that subject in the computer vision field because the vanishing point represents a major inform...
Uncertainties in Remote Sensing Information Appraise Based on Theory of Rough Sets
Uncertainty Rough Sets Remote Sensing ImageCclassification Measure
2015/12/3
In the remote sensing data not only have radiation error and geometry error, need geometry correction and radiometric correction, but most of them also have “same object different spectrum”and”same sp...
ANALYSIS OF UNCERTAINTIES IN VISUALIZING REMOTE SENSING AND SPATIAL DATA
Remote Sensing Image Processing Iron Ore Spatial Data Visualization Uncertainties
2015/9/28
The maintenance of satellite and spatial data quality is an important task and escalating interest amongst geospatial community. The visualization of perfect earth surface features by relative respons...
MODELLING DEM DATA UNCERTAINTIES FOR MONTE CARLO SIMULATIONS OF ICE SHEET MODELS
GIS DEM/DTM Error Correlation Impact Analysis Modelling Reference Data Glaciology
2015/9/28
For realistic modelling of digital elevation model (DEM) uncertainty, information on the amount and spatial configuration is needed.However, common DEM products are often distributed with global error...
FOUR ADVANCES IN HANDLING UNCERTAINTIES IN SPATIAL DATA AND ANALYSIS
uncertainty quality control spatial data spatial analysis spatial model
2015/9/28
Data quality and uncertainty modeling for spatial data and spatial analyses is regarded as one of the disciplines of geographic information science together with space and time in geography, as well a...
TOWARDS UNCERTAINTY-BASED GEOGRAPHIC INFORMATION SCIENCE (PART B)–THEORIES OF MODELING UNCERTAINTIES IN SPATIAL ANALYSES
uncertain GIS uncertainty analysis spatial analysis multi-data source analysis overlay buffer line simplification uncertainty-based spatial mining quality control
2015/8/10
Within the framework of uncertainty-based geographic information science, this paper addresses modeling uncertainties in integrating multiple sources of data, modeling uncertainty in overlay analysis,...
Factors Causing Uncertainties in Spatial Data Mining
Factors Uncertainties Spatial data mining
2015/7/7
Spatial data mining is to extract the unknown knowledge from a large-amount of existing spatial data repositories areas (Ester et al.,
2000). The spatial data are to represent the spatial existence o...
MODELLING QUALITATIVE AND QUANTITATIVE UNCERTAINTIES OF OBJECTS EXTRACTED FROM HIGHRESOLUTION MULTI-SPECTRAL IMAGES AND LASER SCANNING DATA
Quality Uncertainty Object Extraction
2015/6/1
An object-based approach is applied in land-cover feature extraction from high-resolution multi-spectral images and laser scanning
data in this research. Objects extracted from high-resolution spect...
CONSIDERING UNCERTAINTIES WITHIN AN EMERGENCY PREDICTION MODEL IN AN URBAN ENVIRONMENT
Uncertainties Rescue Services Urban Environment Prediction Model
2014/10/16
Although uncertainties appear in almost every analysis or simulation, they are often not considered or described explicitly. Especially in complex models they can become very large. The neglect of des...
ASSESSING UNCERTAINTIES IN ACCURACY OF LANDUSE CLASSIFICATION USING REMOTE SENSING IMAGES
Remote Sensing Landuse Classification Uncertainties Bootstrap Resampling
2014/4/24
Multispectral remote sensing images are widely used for landuse/landcover (LULC) classification. Performance of such classification
practices is normally evaluated through the confusion matrix which...
Climate Projections and Uncertainties over South America from MRI/JMA Global Model Experiments
Climate Projections High Resolution Global Model South America Uncertainties
2013/2/27
This paper analyses the climate change projected for the near and distant future in South America using MRI/JMA (Japanese Meteorological Agency) global model simulations with resolutions of 20 and 60 ...
Interval importance sampling method for finite element-based structural reliability assessment under parameter uncertainties
Finite element method Importance sampling Imprecise probability Interval analysis Interval uncertainty Probability box Simulation Structural reliability Statistical uncertainty
2012/4/26
Parameters of a probabilistic model often cannot be determined precisely on the basis of limited data. In this case the unknown parameters can be introduced as intervals, and the imprecise probability...
Adaptive Dual Network Design for a Class of SIMO Systems with Nonlinear Time-variant Uncertainties
Adaptive control critic network sliding mode control
2009/9/9
A novel adaptive dual network design consisting of a rough adjustment network (RAN) and a fine adjustment network (FAN) is proposed to eliminate the unknown time-variant uncertainties of servo system....
Bootstrap and Order Statistics for Quantifying Thermal-Hydraulic Code Uncertainties in the Estimation of Safety Margins
Thermal-Hydraulic Code Safety Margins
2009/9/3
In the present work, the uncertainties affecting the safety margins estimated from thermal-hydraulic code calculations are captured quantitatively by resorting to the order statistics and the bootstra...