This paper introduces a novel Deep Learning (DL) architecture for inferring temperature
information from aerial true-color RGB images by transforming them into Infrared Radiation …

Efficient and accurate computation of the single‐scattering properties of black carbon (BC)
aerosols is fundamental in various fields, including remote sensing and climate simulations …

Computer-generated imagery has been made more lifelike and misleading by new
Generative Adversarial Network (GAN) models, such as StyleGAN, posing severe risks to …

With the advancements in space technology and the development of lightweight synthetic
aperture radar (SAR) satellites by commercial companies, such as ICEYE, Capella Space …

Wildfires pose an increasing risk to expanding urban population centers, and to critical
habitats for plant and animal species. Improving current wildland management strategies …

The dynamics of surface water in the Yangtze Plain is complex, influenced by the coupled
impacts of climate change and intensifying human activities. However, remote sensing …

In contrast to the well-investigated field of Synthetic Aperture Radar (SAR)-to-Optical
translation, this study explores the lesser-investigated domain of Optical-to-SAR translation …

Synthetic Aperture Radar (SAR) enables the acquisition of high-resolution imagery even
under severe meteorological and illumination conditions. Its utility is evident across a …

In contrast to the well-investigated field of SAR-to-Optical translation, this study explores the
lesser-investigated domain of Optical-to-SAR translation, a challenging field due to the ill …

In recent years, the advantages of multi-sensor integration are gradually highlighted. In this
paper, an integrated imaging system (IIS) of airborne synthetic aperture radar (SAR) and …