New Algorithm Will Help Curiosity Rover Analyze Mars Soil
November 16, 2013
While the instruments on NASA’s Mars rover Curiosity are able to easily identify the chemical composition of rocks, measure the speed of the wind and snap amazing images from mast-mounted cameras, the process of analyzing soil images can be a somewhat daunting task, according to researchers from Louisiana State University (LSU).
After all, the university points out, many times there are several thousand images to analyze, and the soil particles are typically only five to 10 pixels wide. Now, however, a research team led by Suniti Karunatillake of the LSU Department of Geology and Geophysics has come to the rescue with a new algorithm that should make the task easier.
Karunatillake and colleagues from Rider University, Stony Brook University and the US Geological Survey (USGS) in Flagstaff, Arizona joined forces to create an image analysis and segmentation algorithm specifically to help NASA scientists complete this basic, but nonetheless challenging, part of their mission.