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IMPROVING UNDERWATER ACCURACY BY EMPIRICAL WEIGHTING OF IMAGE OBSERVATIONS
underwater photogrammetry, image quality, bundle adjustment, image observation weighting
2018/6/4
An underwater imaging system with camera and lens behind a flat port does not behave as a standard pinhole camera with additional parameters. Indeed, whenever the entrance pupil of the lens is not in ...
City Networks of Online Commodity Services in China: Empirical Analysis of Tmall Clothing and Electronic Retailers
city networks online commodity services intercity relationships specialization
2018/4/3
City networks have been a critical topic in the fields of urban geography and regional economics. Numerous studies have explored city networks, focusing mainly on infrastructure and industrial network...
Measuring Empirical Computational Complexity
trend-prof empirical computational complexity
2016/5/24
The standard language for describing the asymptotic behavior of algorithms is theoretical computational complexity. We propose a method for describing the asymptotic behavior of programs in practice b...
An Empirical Model for Orientation of ALOS-PRISM Images of Level 1-B2
Three-Line scanner Sensor model Orientation Ground Control Accuracy
2016/1/25
The Japanese satellite ALOS incorporates the PRISM sensor, dedicated to high resolution stereo imaging. It has a potential to derive
elevation data compatible with medium scale topographic mapping sc...
3d physical vs empirical models for stereo-processing hr images: examples with ikonos and quickbird
Photogrammetry Ikonos QuickBird Stereoscopic DEM/DTM Accuracy
2015/9/1
Elevations for digital surface model (DSM) generation were extracted from different stereo high-resolution (HR) imag...
theoretical and empirical evaluation of geometric performance of multi-head large format photogrammetric sensors
Accuracy Calibration Camera Distortion Geometric Orientation Simulation
2015/9/1
The geometric performance of large format multi-head photogrammetric sensors, Intergraph DMC and Vexcel UltraCamD, was evaluated theoretically and empirically. Theoretical point determination accuracy...
A SEMI AUTOMATED EMPIRICAL MODEL FOR ESTIMATION OF CH4 EMISSION USING COARSE RESOLUTION THERMAL DATA
Land Surface Temperature NDVI
2015/8/28
Concentration of atmospheric methane is considered to have a significant effect on climate because of its GWP (Global Warming
Potential), which is 21 times of CO2. Methane is generated by the process...
Application of empirical mode decomposition to very low frequency signals for identification of seismic-ionospheric precursor phenomena
Earthquake Precursor Phenomena Empirical Mode Decomposition
2015/8/24
This study investigates the application of empirical mode decomposition to signals from very low frequency transmitters in Europe that were received in Thessaloniki, Greece, to provide a method for de...
Empirical Evaluation of Four Tensor Decomposition Algorithms
tensors singular value decomposition Tucker decomposition tensor decomposition latent semantic analysis
2015/7/29
Higher-order tensor decompositions are analogous to the familiar Singular Value Decomposition (SVD), but they transcend the limitations of matrices (second-order tensors). SVD is a powerful tool that ...
Empirical learning aided by weak domain knowledge in the form of feature importance
neural network domain knowledge prior knowledge feature importance
2015/7/15
Standard hybrid learners that use domain knowledge require stronger knowledge that is hard and expensive to acquire. However, weaker domain knowledge can benefit from prior knowledge while being cost ...
Empirical Prediction and Risk Assessment of Chicken Egg Prices in China Using Support Vector Machine Algorithm
Chicken Egg Prices China
2016/6/2
The study was aimed to predict and assess the prices and their corresponding fluctuations of chicken eggs in China with risk warning using Support Vector Machine (SVM) algorithm from the aspects of co...
A FRAMEWORK FOR MAINTAINING A MULTI-USER GEODATABASE: AN EMPIRICAL EXAMPLE
Database GIS Versioning Infrastructure Updating
2015/6/1
Utility companies often collect a vast amount of geospatial data to support ongoing operations. Storing the datasets within a corporate database management system and using GIS technology to manage ge...
AN EMPIRICAL EVALUATION OF HEDONIC REGRESSION MODELS
AN EMPIRICAL EVALUATION HEDONIC REGRESSION MODELS
2015/3/16
AN EMPIRICAL EVALUATION OF HEDONIC REGRESSION MODELS.
EMPIRICAL DISTRIBUTIONS OF LANDSCAPE PATTERN INDICES AS FUNCTIONS OF CLASSIFIED IMAGES COMPOSITION AND SPATIAL STRUCTURE
Autocorrelation class proportion confidence interval srochastic simulation
2015/3/13
EMPIRICAL DISTRIBUTIONS OF LANDSCAPE PATTERN INDICES AS FUNCTIONS OF CLASSIFIED IMAGES COMPOSITION AND SPATIAL STRUCTURE.
EMPIRICAL ESTIMATION OF VEGETATION PARAMETERS USING MULTISENSOR DATA FUSION
Agriculture Data fusion Multi-sensor Land use Land cover GIS
2015/2/3
To estimate parameters of large-scale vegetation heterogeneity for the determination of soil heterogeneity a method based
on fusion of multisensor image and pointwise ground-truth data is proposed. R...