Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of uncertainty.
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 ...
The U.S. Naval Research Laboratory launched a remote sensing experiment to sharpen artificial intelligence applications in hyperspectral imaging across ...
WASHINGTON – The U.S. Naval Research Laboratory (NRL) launched a remote sensing experiment to sharpen artificial intelligence (AI) applications in hyperspectral imaging across the Department of the ...
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 ...
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