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

Remote Sensing Scientists use sensors to analyze data and solve regional, national, and global problems in areas such as natural resource management, urban planning, and climate and weather prediction ...

The Remote Sensing for Natural Resources certificate focuses on using satellite and aerial imagery to monitor, measure, and model natural systems. Learn how to interpret remote sensing data to support ...

Michigan Technological University’s Michigan Tech Transportation Institute (MTTI) and Michigan Tech Research Institute (MTRI), in cooperation with the Center for Automotive Research and the Michigan ...

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 Navy and ...

Image registration is a fundamental process in remote sensing which involves the precise alignment of images acquired from different sensors, perspectives, or times. This technique is critical for ...

The U.S. Naval Research Laboratory launched a remote sensing experiment to sharpen artificial intelligence applications in hyperspectral imaging across ...

Oil pollution remains a critical environmental challenge with extensive impacts on marine and coastal ecosystems. Remote sensing offers a powerful, non-invasive means to detect, quantify and monitor ...

Implementing roadside technology to detect high-emitting vehicles improves urban air quality. Cities that adopt roadside emissions sensors to detect high polluting vehicles, together with an ...

WASHINGTON — Xplore, a startup based in Redmond, Washington, announced Jan. 31 it was granted a remote-sensing license from the National Oceanic and Atmospheric Administration (NOAA) for the company’s ...

For decades, the ability to visualize the chemical composition of materials, whether for diagnosing a disease, assessing food ...

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