Common methods of ocean remote sensing and seafloor surveying are mainly carried out
by airborne and spaceborne hyperspectral imagers. However, the water column hinders the …

Earth is experiencing unprecedented climate change driven by anthropogenic activities. The
Paris Climate Agreement is the most recent international agreement pushing nations to …

Due to the scarcity and high cost of labeled hyperspectral image (HSI) samples, many deep
learning methods driven by massive data cannot achieve the intended expectations. Semi …

The abundant spectral signatures and spatial contexts are effectively utilized as the key to
hyperspectral image (HSI) classification. Existing convolutional neural networks (CNNs) …

Hyperspectral image (HSI) classification has recently been successfully explored by using
deep learning (DL) methods. However, DL models rely heavily on a large number of labeled …

Hyperspectral imagers enable the collection of high-resolution spectral images exploitable
for the supervised classification of habitats and objects of interest (OOI). Although this is a …

The paper covers topics ranging from hyperspectral imaging applications to innovative
algorithms that have enhanced the analysis of hyperspectral data. We delve into the …

This paper is a section of several preliminary studies of the Underwater Drones Group of the
Università degli Studi “Roma Tre” Science Department: We describe the study philosophy …

Among aquatic biota, corals provide shelter with sufficient nutrition to a wide variety of
underwater life. However, a severe decline in the coral resources can be noted in the last …

Colonies of the endangered red sea pen Pennatula rubra (Cnidaria: Pennatulacea)
sampled by trawling in the northwestern Mediterranean Sea were analyzed. Biometric …