A research team from the LSU Department of Geology and Geophysics has created an image analysis and segmentation algorithm to help NASA scientists sort through pictures taken by rovers such as Curiosity. Typically, it’s a daunting task for planetary scientists as they use the images to identify where rock particles are and the processes that distributed them. Did they come from a water source or blown by the wind? The new algorithm has been implemented into a computational software program and can process a single image within 1 to 5 minutes and is more accurate than a human. Researchers are testing this algorithm out on images from the Mars Exploration Rover’s Microscopic Imager and Curiosity’s Mars Hand Lens Imager to quantify grain sizes.
[ Read the Article: New Algorithm Will Help Curiosity Rover Analyze Mars Soil ]