Advancing open-architecture C-UAS operations by fusing Dronetag’s Remote ID data into a single, mission-ready airspace ...

Remote sensing image fusion has emerged as a pivotal technique to enhance both the spatial and spectral quality of satellite and aerial imagery, thereby improving the utility of such data in ...

A research team led by Prof. XIE Chengjun and ZHANG Jie from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences, developed a frequency domain-independent feature learning ...

UD's Applied Sensing Laboratory is a center for applied remote sensing research, with a particular focus on the research and development of signal and image processing, computer vision, and pattern ...