Published in Astrobiology, 2023
Recommended citation: Phillips, M.S., Moersch, J.E., Cabrol, N.A., Candela, A., Wettergreen, D., Warren-Rhodes, K., Hinman, N.W., & SETI Institute NAI Team (2023). "Planetary Mapping Using Deep Learning: A Method to Evaluate Feature Identification Confidence Applied to Habitats in Mars-Analog Terrain." Astrobiology. 23(1), 76-93.
Download Paper