Publications (4)
ARTICLE
MS3Net: a deep ensemble learning approach for ship classification in heterogeneous remote sensing data
Bole Wilfried Tienin, Guolong Cui, Chiagoziem Chima Ukwuoma, Yannick Abel Talla Nana, Roldan Mba Esidang &Eguer Zacarias Moniz Moreira
Maritime ship classification is essential for effectively monitoring oceanic activities but faces challenges when using heterogeneous remote sensing data. This research presents a novel dataset called Heterogeneous Ship Data, created by combining synthetic aperture radar (SAR) and optical satellite images of ships. The integration of multimoda(...)
Maritime surveillance, Remote sensing, ship classification, ensemble learning, attention mechanism
COMMUNICATION
A Convolutional Neural Network for Heterogeneous Ship Images Classification
Bole Wilfried Tienin; Cui Guolong
In this work, heterogeneous ship images classification has been implemented by using Deep Learning techniques. The main goal of our study is to build a classification model that performs well on data collected from two different sensors i.e. optical sensor and radar sensor. We have proposed a binary classification solution. Our goal was to sep(...)
Deep learning , Laser radar , Spaceborne radar , Radar detection , Radar imaging , Feature extraction , Convolutional neural networks
COMMUNICATION
Comparative Ship Classification in Heterogeneous Dataset with Pre-trained Models
Bole Wilfried Tienin; Cui Guolong; Roldan Mba Esidang
In this work, we have proposed a comparative study on heterogeneous ship images classification via pre-trained models (VGG16, Inception-V3, ResNet-50). We have introduced a new dataset in this paper: heterogeneous dataset, where data were collected from two different sensors i.e. optical sensor and radar sensor. We have proposed three classes(...)
SAR images , optical satellite images , pre-trained model , ship classification
ARTICLE
A COMPARISON OF ADOMIAN’S METHOD AND SBA METHOD ON THE NONLINEAR SCHRÖDINGER’S EQUATION
Gérard Zongo, Ousséni So, Geneviève Barro, Youssouf Paré, Blaise Somé
In this paper, we solve nonlinear Schrödinger equation with a new method: SBA. This equation has been solved in [19] by Wazwaz by
using Adomian’s decomposition method (ADM). The calculation of Adomian’s polynomials is very long and heavy. To avoid the
calculations of the Adomian’s polynomials, we apply SBA method witch gives the same solutio(...)
nonlinear Schrödinger equations, Adomian’s decomposition method, Adomian’s polynomials, SBA method.