Attention-guided fusion teaches satellites to see ships in the dark
Chinese researchers have developed CGFM, an attention-guided fusion module that lets YOLOv8-based detectors intelligently combine visible-light and infrared satellite imagery, ...
Chinese researchers have developed CGFM, an attention-guided fusion module that lets YOLOv8-based detectors intelligently combine visible-light and infrared satellite imagery, ...
Researchers have developed S²DNet, a dynamic spectral–structural framework that adapts feature extraction and fusion to each scene, improving remote sensing ...
A feasibility study on Italy's Po Delta combined bridge cameras, drones, satellites, ship sampling and hydrodynamic modelling to track plastic ...
New high-resolution biomass change maps show that Central African tropical forests are experiencing net carbon losses, challenging assumptions about the ...
Researchers have developed CADE, a lightweight semi-supervised AI framework that predicts and generates future satellite imagery with high accuracy and ...
A new mixture-of-experts vision-language model called RSFG-MoE is designed to deliver fine-grained, high-resolution interpretation of remote sensing imagery.
Version 2.1.1 of the open-source YOLO-MOD plugin lets QGIS users run their own trained YOLO models, edit detections interactively, and ...
A comprehensive new review maps how deep learning can fuse social media and satellite data to make disaster response faster ...
A new global study weighing 606 million buildings reveals that dense cities of uniformly short buildings use construction materials most ...
The persistent impact of climate change on our planet is an issue that continues to gain attention from researchers, policymakers, ...
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© 2025 Scienmag - Science Magazine