The past years have witnessed great progress on remote sensing (RS) image interpretation
and its wide applications. With RS images becoming more accessible than ever before …

The past decade has witnessed the great progress on remote sensing (RS) image
interpretation and its wide applications. With RS images becoming more accessible than …

Big data in medical diagnosis can provide abundant value for clinical diagnosis, decision
support and many other applications, but obtaining a large number of labeled medical data …

The article deals with an approach for program description of procedures for information
processing at a micro level in computer spice. The goal is to develop an example workspace …

In the digital age, the role of information technology and computer processes is growing.
This requires refining the development of software by optimizing the communications …

Bayesian image restoration has had a long history of successful application but one of the
limitations that has prevented more widespread use is that the methods are generally …

Supervised classification and representation learning are two widely used classes of
methods to analyze multivariate images. Although complementary, these methods have …

This paper introduces a matrix cofactorization approach to perform spectral unmixing and
classification jointly. After formulating the unmixing and classification tasks as matrix …

La classification supervisée et le démélange spectral sont parmi les techniques les plus
utilisées pour extraire l'information d'images hyperspectrales. Elles abordent cependant ce …

Supervised classification and spectral unmixing are two methods to extract information from
hyperspectral images. However, despite their complementarity, they have been scarcely …