Abstract Three-dimensional (3D) image mapping of real-world scenarios has a great
potential to provide the user with a more accurate scene understanding. This will enable …

Underwater computer vision has attracted increasing attention in the research community
due to the recent advances in underwater platforms such as of rovers, gliders, autonomous …

Hyperspectral data are being increasingly used for the characterization and understanding
of real-world scenarios. In this field, UAV-based sensors bring the opportunity to collect …

This paper addresses the lack of “push-button” software for optical marine imaging, which
currently limits the use of photogrammetric approaches by a wider community. It presents …

Coral reefs are home to a variety of species, and their preservation is a popular study area;
however, monitoring them is a significant challenge, for which the use of robots offers a …

Hyperspectral sensors mounted on unmanned aerial vehicles (UAV) offer the prospect of
high-resolution multi-temporal spectral analysis for a range of remote-sensing applications …

Transfer-based adversarial attacks involve generating adversarial point clouds in surrogate
models and transferring them to other models to assess 3D model robustness. However …

Hyperspectral underwater target detection (HUTD) is a promising and challenging task in
remote sensing image processing. Existing methods face significant challenges when …

We propose a semi-analytical (SA) model for relating seafloor reflectance to measured
radiance in deep-water hyperspectral imaging in artificially illuminated scenes. Using …

Spectral 3D computer vision examines both the geometric and spectral properties of objects.
It provides a deeper understanding of an object's physical properties by providing …