A wide range of AI models, including traditional machine learning techniques and deep learning frameworks like YOLO, CNNs, ...

Quantifying greenhouse gas emissions at various spatial scales, from hotspots in urban areas to expansive regional zones, is an integral task in mitigating ...

A team of researchers led by Dr. Ittai Herrmann at The Hebrew University of Jerusalem, in collaboration with Virginia State ...

In the remote sensing community, extracting buildings from remote sensing imagery has triggered great interest. While many studies have been conducted, a comprehensive review of these approaches that ...

Remote-sensing image–text retrieval (RSITR) has attracted widespread attention due to its great potential for rapid information mining ability on remote-sensing images. Although significant progress ...

A research team led by the University of Aberdeen has developed a pioneering AI model to improve accuracy and reduce ...

It’s sometimes useful for a system to not just have a flat 2D camera view of things, but to have an understanding of the depth of a scene. Dual RGB cameras can be used to sense depth by contr… ...

Enabling high-resolution, high-accuracy reality capture to accelerate the adoption of digital twins across industries and applications ASPRS ASPRS BOSTON, MA, June 18, 2025 (GLOBE NEWSWIRE) -- The ...