A research team from the Aerospace Information Research Institute of the Chinese Academy of Sciences (AIRCAS) has developed a ...

Smart acoustic and ultrasonic systems that can adjust and optimise to their environments are changing the way connected ...

Scientists are invited to submit their latest research to a new special issue focusing on the intersection of artificial ...

Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of uncertainty.

Robots have evolved beyond repetitive tasks to incorporate AI, machine learning, and sensor fusion technologies that enable ...

Existing algorithms can partially reconstruct the shape of a single tree from a clean point-cloud dataset acquired by ...

Can a system designed in Brussels and enforced from space truly understand the subtle, seasonal rhythms of rural life? Or ...

Abstract: Precisely identifying objects of interest in remote sensing imagery requires not only accurate classification but also precise delineation of their location, scale, and orientation. However, ...

Using seven decades of global research papers, NYU Tandon researchers found that China makes up 47% of publications in remote sensing — a science that uses specialized sensors to gather data from ...

Semantic segmentation of remote sensing images is pivotal for comprehensive Earth observation, but the demand for interpreting new object categories, coupled with the high expense of manual annotation ...