Hyperspectral imaging is a powerful technology that captures a wide spectrum of light for each pixel in an image, allowing for detailed analysis of materials and their properties. This technique ...
Hyperspectral imaging (HSI) is a powerful technology that captures a wide spectrum of light for each pixel in an image, allowing for detailed analysis of materials and objects. This technique is ...
Hogan and Stoddard also integrated hyperspectral imaging with photogrammetry, a technique that stitches together hundreds of traditional images taken from different angles, to produce virtual 3D ...
A research team led by Dr. David Helman from the Faculty of Agriculture, Food and Environment at the Hebrew University of ...
Other research groups have explored using hyperspectral Raman imaging to monitor plastic pollution. This technique combines Raman spectroscopy with imaging to capture spatially resolved chemical ...
The “Hyperspectral Remote Sensing” team provides methods and products for optical imaging sensors on satellites and aircrafts ... Based on the developed software ORTHO, robust geolocation enhancement ...
As you probably already know or have guessed – hyperspectral imaging has been around for a long time. But the setups and software needed to create a hyperspectral image used to be prohibitively ...
Carlson for Imaging Science are conducting research on AI applications in imaging-related fields. Their work encompasses computer vision systems, remote sensing technologies, advanced image processing ...
Zhang. More information: Zimu Zeng et al, Virtual restoration of ancient tomb murals based on hyperspectral imaging, Heritage Science (2024). DOI: 10.1186/s40494-024-01501-0 ...
Process spectroscopy refers to the use of spectroscopic techniques for real-time monitoring and analysis of industrial processes. It is a non-destructive analytical method that can provide valuable ...
Pixxel was founded in 2019 with a primary thesis that the extant satellite data was not enough for advanced applications, which the startup wanted to solve for with hyperspectral imaging ...