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Creating a Program in Mat Lab to Classify CRISM Data Members: Joyce Bevins, MyAsia Reid, Justin Deloatch Key Terms: ABSTRACT Creating a Program in Mat Lab to Classify CRISM Data For years many people have had questions concerning Mars atmosphere climate, and surface. If water had ever existed on Mars and if so where and when did the water occur? Is Mars suitable for life? Can there be human exploration and colonization on Mars? NASA uses it’s high tech seeking instrument known as CRISM (The Compact Reconnaissance Imaging Spectrometer for Mars) to trace the past and present water on Martian Mars to try and answer these questions that have yet to be fully answered. The CRISM instrument is sent to Mars to take images of Mars surface in search for minerals that may indicate that water is present. The 2009-2010 undergrad Research team primary focus was to create a program using map lab that will classify CRISM data in a shorter time frame than what it will take to classify by hand. The CRISM research consisted of manually classifying images from Mars and placing them into excel’s data base, downloading images and storing them into Kitoto’s server so that the program can read and return results of the overall images and mineral images. These images can be classified as excellent, fair, poor, and absent. The classification of each image will show whether there is a lot, little, or no water in each kind of mineral. The five minerals are oxidized iron minerals, mafic mineralogy, hydroxylated silicates, bound water and CO2 water. The images that show the most signs of water in certain areas on Martian will be examined more closely. Currently, the CRISM team working is on creating this program in Mat Lab. |
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