Analyzing satellite images and remote sensing (RS) data using artificial intelligence (AI)
tools and data fusion strategies has recently opened new perspectives for environmental …

In the last few years the scientific community has realized that obtaining a better
understanding of interactions between natural systems and the man-made environment …

Integrating Artificial Intelligence (AI) techniques with remote sensing holds great potential for
revolutionizing data analysis and applications in many domains of Earth sciences. This …

The aim of this study is to explore the performances of different data fusion techniques for
the enhancement of urban features and evaluate the features obtained by the fusion …

The aim of this study is to explore different data fusion techniques and compare the
performances of a standard supervised classification and expert classification. For the …

Remote sensing (RS) plays an important role gathering data in many critical domains (eg,
global climate change, risk assessment and vulnerability reduction of natural hazards …

Recent improvements in the spatial, temporal, and spectral resolution of satellite images
necessitate (semi-) automated classification and information extraction approaches …

Artificial intelligence (AI) plays a growing role in remote sensing (RS). Applications of AI,
particularly machine learning algorithms, range from initial image processing to high-level …

This presentation aims at stimulating ongoing research and development on the topic of
urban remote sensing exploiting multiple data sets by offering a bibliographic review of the …

This paper presents and explores the different Earth Observation approaches and their
contribution to the achievement of United Nations Sustainable Development Goals. A review …