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

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

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 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 ...

The U.S. Naval Research Laboratory (NRL) launched a remote sensing experiment to sharpen artificial intelligence (AI) ...

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 ...

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 ...

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

Analyze images and other data to solve problems across disciplines. Imagery and other data collected by satellites, crewed aircraft, and uncrewed aerial systems (UAS) are increasingly important for ...