[PDF][PDF] Learning transfer using deep convolutional features for remote sensing image retrieval
Convolutional neural networks (CNNs) have recently witnessed a notable interest due to
their superior performance demonstrated in computer vision applications; including image …
their superior performance demonstrated in computer vision applications; including image …
[PDF][PDF] Adaptive contrast enhancement of satellite images based on histogram and non-linear transfer function methods
Z Saberi, N Hashim, A Ali, P Boursier… - … International Journal of …, 2023 - iaeng.org
Satellite images are widely used in various fields as they are important, especially in
monitoring activities. Change detection is one such activity that assesses differences in …
monitoring activities. Change detection is one such activity that assesses differences in …
A comparative preprocessing study for softcast video transmission
A Trioux, FX Coudoux, P Corlay… - 2018 9th International …, 2018 - ieeexplore.ieee.org
An original wireless video transmission scheme called SoftCast has been recently proposed
to deal with the issues encountered in conventional wireless video broadcasting systems …
to deal with the issues encountered in conventional wireless video broadcasting systems …
Decoupled modular regularized VMS-POD for Darcy-Brinkman equations
We extend the post-processing implementation of a projection based variational multiscale
(VMS) method with proper orthogonal decomposition (POD) to flows governed by double …
(VMS) method with proper orthogonal decomposition (POD) to flows governed by double …
Cyclic triple factorization
This article aims to present a novel method, namely wheel partition technique, for
constructing a new cyclic 12-fold triple system called cyclic triple factorization denoted by …
constructing a new cyclic 12-fold triple system called cyclic triple factorization denoted by …