COSI - image processing software

Small differences in light, far more subtle than humans can perceive as different colours, carry valuable information about the health status of vegetation. Hyperspectral imaging reveals this by splitting light into a large number of spectral components. Remote sensing applications use this spectral data to derive accurate information of even minor changes in the state of vegetation, water or other objects. With compact hyperspectral cameras, vegetation can be monitored from multiple platforms, including small drones and satellites. But a compact sensor or camera is only part of the solution. Users also need to get the information out of the acquired data. By adding a user-friendly image processing flow, you create a useful remote sensing tool.  An activity between GSTP’s Element 3 and Belgium has developed a compact hyperspectral imaging solution, called COSI to do just that. Using linear variable filter technology, COSI provides important benefits for operating hyperspectral cameras on small platforms like remote piloted aircraft systems and small satellites. The unique COSI software processes the raw image data from a compact, linear-variable-filter-based hyperspectral camera into a set of pre-defined image end products. The end system is compact, lightweight and low cost. It will enable high spatial resolution images to be processed for better vegetation imaging monitoring for agriculture and biodiversity monitoring.