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SEN23E: A Cloudless Geo-Referenced Multi-Spectral Sentinel-2/Sentinel-3 Dataset for Data Fusion Analysis
(IEEE, 2022-07)
The availability of geo-referenced coupled data of dif-ferent platforms is essential to train remote sensing (RS) multi-modal classification and bio-phyiscal parameter esti-mation learning methods. To properly develop a ...
Multivariate product-shot-noise Cox point process models
(Wiley, 2015)
We introduce a new multivariate product-shot-noise Cox process which is useful for modeling multi-species spatial point patterns with clustering intra-specific interactions and neutral, negative, or positive inter-specific ...
Mobile Access to Sensor Networks by Using GIS Standards and RESTful Services
(Institute of Electrical and Electronics Engineers (IEEE), 2014)
There is an increasing deployment of sensor networks that measure the physical state of the environment. These networks provide large volumes of data in many different formats, resolutions, and scales. There are different ...
Second-order analysis of anisotropic spatiotemporal point process data
(Wiley, 2015-02)
Second-order orientation methods provide a natural tool for the analysis of spatial point process data. In this paper, we extend to the spatiotemporal setting the spatial point pair orientation distribution function. The ...
Simplification method for textured polygonal meshes based on structural appearance
(Springer-Verlag, 2013-05)
This paper proposes an image-based simplification method for textured triangle meshes that preserves the structural appearance of textured models. Models used in interactive applications are usually composed of textured ...
Data Cleansing for Indoor Positioning Wi-Fi Fingerprinting Datasets
(IEEE, 2022)
Wearable and IoT devices requiring positioning and
localisation services grow in number exponentially every year.
This rapid growth also produces millions of data entries that
need to be pre-processed prior to being ...
On wavelet-based energy densities for spatial point processes
(Springer, 2013-08)
A spatial point process can be considered a random measure and therefore represented as a countable sum of Delta Dirac measures concentrated at some points of the process. Applying a two-dimensional continuous wavelet ...
A full probabilistic solution of the random linear fractional differential equation via the random variable transformation technique
(John Wiley & Sons, Ltd., 2018-11-28)
This paper provides a full probabilistic solution of the randomized fractionallinear nonhomogeneous differential equation with a random initial conditionvia the computation of the first probability density function of the ...
On the convergence of adaptive gPC for non-linear random difference equations: Theoretical analysis and some practical recommendations
(International Scientific Research Publications, 2018-06-19)
In this paper, the application of adaptive generalized polynomial chaos (gPC) to quantify the uncertainty for non-linear
random difference equations is analyzed. It is proved in detail that, under certain assumptions, the ...
A note on smoothness measures for space-time surfaces
(Springer Verlag, 2013-09)
The differentiability of a random field has a direct relationship with the differentiability of its covariance function. We review the concept of differentiability of space–time covariance models and random fields, and its ...