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Automatic Classification and Segmentation of Patterned Martian Ground Using Deep Learning Techniques

Brito, RuthyThe University of Western Ontario2023

… by prioritizing downlink of meaningful data. Martian polygonally cracked ground is actively studied by planetary geologists and may be indicative of subsurface water. Filtering images containing these polygonal features can be used as a case study for science autonomy and to reduce the …

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