The present work collects a plethora of previous research work in the field of multimodal
fusion which despite a lot of research could not handle the imperfections. These …

The classification of very high resolution remote sensing images from urban areas is
addressed by considering the fusion of multiple classifiers which provide redundant or …

We compared various machine learning (ML) methods, such as the K-nearest neighbor
(KNN), support vector machine (SVM), and decision tree and deep learning (DL) methods …

A new data fusion application is presented, in the context of a national research project. This
project aims to improve the evaluation of indicators or pathologies of in situ concrete …

The problem of detecting blood vessels in retinal color fundus images is addressed. An
unsupervised method based on the extraction of two vessel features vectors in order to …

The data fusion architecture has an important role in the efficiency of the processed
information and the significance of the made decision at the output level. For this reason, we …

Dedicated to remote sensing images, from their acquisition to their use in various
applications, this book covers the global lifecycle of images, including sensors and …

This paper investigates the problem of tracking spatiotemporal changes of a satellite image
through the use of Knowledge Discovery in Database (KDD). The purpose of this study is to …

The design of automotive systems requires the joint design of hardware, software and micro-
mechanical components. In traditional design approaches the different parts are designed …

We address in this paper the problem of defining belief functions, typically for multi-source
classification applications in image processing. We propose to use mathematical …