Generate single-band (grayscale), multispectral, or hyperspectral imagery; Simulate active sensing (e.g. LiDAR) and evolving RF / radar capabilities; Design and test imaging system architectures; ...
For over 40 years, the DIRSIG™ software — developed at RIT’s Digital Imaging and Remote Sensing laboratory — has been freely available (beyond a training fee) and trusted by academia, industry, and ...
Rendered.ai, the leading platform for physics-based synthetic data, and the Rochester Institute of Technology’s Digital Imaging and Remote Sensing (DIRS) Laboratory today announced a collaboration to ...
Adding access to world-class multi-spectral and hyper-spectral simulation within Rendered.ai's cloud capability enables customers around the world to use the DIRSIG model to generate Earth Observation ...
The effort will enable US customers to use the DIRSIG™ model with Rendered.ai's cloud capabilities to generate Earth Observation datasets for AI training BELLEVUE, Wash. and ROCHESTER, N.Y., April 22, ...
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