Results 31 to 40 of about 1,087,662 (308)
Remote Sensing, 2023 Offshore wind is expected to play a key role in future energy systems. Wind energy resource studies often call for long-term and spatially consistent datasets to assess the wind potential.
Stylianos Hadjipetrou +2 more
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The cumulant generating function as a novel observable to cumulate weak lensing information
The Open Journal of Astrophysics, 2023 Key non-Gaussian properties of cosmological fields can be captured by their one-point statistics, providing a complement to two-point statistical measurements from power spectra or correlation functions.
Aoife Boyle +4 more
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Multiple Point Statistics: A Review [PDF]
, 2018 Geostatistical modeling is one of the most important tools for building an ensemble of probable realizations in earth science. Among them, multiple-point statistics (MPS) has recently gone under a remarkable progress in handling complex and more realistic phenomenon that can produce large amount of the expected uncertainty and variability.
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Modelling a complex gold deposit with multiple-point statistics
Ore Geology Reviews, 2021 Abstract This paper presents an innovative approach to the geological modelling and stochastic estimation of a Mineral Resource in a structurally complex gold deposit. A Direct Sampling multiple-point statistics algorithm is adopted to produce stochastic models of the lithology and gold grade distributions while using sparse geological and grade data.
Yelena van der Grijp +2 more
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Spatio-temporal point process statistics: A review [PDF]
, 2016 © 2016 Elsevier B.V. Spatio-temporal point process data have been analysed quite a bit in specialised fields, with the aim of better understanding the inherent mechanisms that govern the temporal evolution of events placed in a planar region.
Gothenburg University. +5 more
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Remote Sensing, 2017 When using coarse-resolution remote sensing images, super-resolution reconstruction is widely desired, and can be realized by reproducing the intrinsic features from a set of coarse-resolution fraction data to fine-resolution remote sensing images that ...
Ting Zhang, Yi Du, Fangfang Lu
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Stochastic Reconstruction of 3D Heterogeneous Microstructure Using a Column-Oriented Multiple-Point Statistics Program [PDF]
LithosphereThree-dimensional (3D) microstructure reconstruction is a key approach to exploring the relationship between pore characteristics and physical properties.
Chen Zuo +4 more
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Quantifying the uncertainty in change points [PDF]
, 2011 Quantifying the uncertainty in the location and nature of change points in time series is important in a variety of applications. Many existing methods for estimation of the number and location of change points fail to capture fully or explicitly the ...
Aston, John A. D. +5 more
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, 2016 Incorporating spatial information quantified by geostatistical tools to improve the classification of remotely sensed data is a promising method. Most existing studies only focused on the development of geostatistics-based spectral-spatial classification
Peijun Li +3 more
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Conditioning multiple-point statistics simulations to block data [PDF]
Spatial Statistics, 2016 Multiple-points statistics (MPS) allows to generate random fields reproducing spatial statistics derived from a training image. MPS methods consist in borrowing patterns from the training set. Therefore, the simulation domain is assumed to be at the same resolution as the conceptual model, although geometrical deformations can be handled by such ...
Julien Straubhaar +2 more
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