Rivers are dynamic and complex systems shaped by interactions among flow regime, sediment transport, water quality, and ...
Thick cloud cover can completely obscure the surface of the Earth from satellite view, while thinner haze and shadows distort ...
Satellite remote sensing allows rapid, detailed disaster response and planning. But the rules governing who controls and has access to the data aren’t keeping up.
Abstract: Referring remote sensing image segmentation (RRSIS) aims to segment the target described by textual descriptions in remote sensing (RS) images. Existing methods suffer from insufficient ...
WEST LAFAYETTE, Ind. — Existing algorithms can partially reconstruct the shape of a single tree from a clean point-cloud dataset acquired by laser-scanning technologies. Doing the same with forest ...
The U.S. Naval Research Laboratory (NRL) launched a groundbreaking remote sensing experiment, Coastal Hyperspectral Reflectance Object Material Analysis (CHROMA), Sept. 4-19, 2025, designed to ...
Abstract: Remote sensing image semantic segmentation faces critical challenges including extreme object scale variations, severe class imbalance, spectral similarity, and background noise. These ...
Meta Platforms Inc. today is expanding its suite of open-source Segment Anything computer vision models with the release of SAM 3 and SAM 3D, introducing enhanced object recognition and ...