Self-Supervised Learning to Guide Scientifically Relevant Categorization of Martian Terrain Images

1 code implementation • 21 Apr 2022 • Tejas Panambur, Deep Chakraborty, Melissa Meyer, Ralph Milliken, Erik Learned-Miller, Mario Parente

Automatic terrain recognition in Mars rover images is an important problem not just for navigation, but for scientists interested in studying rock types, and by extension, conditions of the ancient Martian paleoclimate and habitability.

Self-Supervised Learning Texture Classification