Currently, most optical Earth observation satellites carry both a panchromatic sensor and a
set of lower spatialresolution multispectral sensors. In order to benefit from both sources of …

This study proposes a model based on coopetition theory drawn from economics literature to
explain the formation of team agility and performance. In the proposed model, team …

Seismic inversion is a significant technique for estimating petroleum reservoir parameters.
The low frequency component of the initial model represents the geological background …

Visual perception is the most important method for providing information about the
competition environment for RoboCup Middle Size League (MSL) soccer robots. The paper …

In this letter, a general Bayesian data fusion (BDF) approach is proposed and applied to the
spatial enhancement of ASTER thermal images. This method fuses information coming from …

Bayesian inference is an effective approach for solving statistical learning problems,
especially with uncertainty and incompleteness. However, Bayesian inference is a …

Water table elevations are usually sampled in space using piezometric measurements that
are unfortunately expensive to obtain and are thus scarce over space. Most of the time …

Multi-source sensor information fusion mainly collects various types of information from
multiple independent decentralized sensors. Due to the different types of information …

Bayesian inference is an effective approach for solving statistical learning problems
especially with uncertainty and incompleteness. However, inference efficiencies are …

In this paper, we address the problem of fusing information about object positions in
multirobot systems. Our approach is novel in two main respects. First, it addresses the …