2 citations · 2 across the 5 of their papers we have counts for
5 papers
Fully Automatic Trace Gas Plume Detection
Vít Růžička, David R. Thompson, Jay E. Fahlen +13
Future imaging spectrometers will expand contemporary data volumes by orders of magnitude, requiring automated methods to upscale labor-intensive detection of trace gas point sourc…
MOMO: Mars Orbital Model Foundation Model for Mars Orbital Applications
Mirali Purohit, Bimal Gajera, Irish Mehta +8
We introduce MOMO, the first multi-sensor foundation model for Mars remote sensing. MOMO uses model merge to integrate representations learned independently from three key Martian…
Mars-Bench: A Benchmark for Evaluating Foundation Models for Mars Science Tasks
Mirali Purohit, Bimal Gajera, Vatsal Malaviya +6
Foundation models have enabled rapid progress across many specialized domains by leveraging large-scale pre-training on unlabeled data, demonstrating strong generalization to a var…
Evaluating Terrain-Dependent Performance for Martian Frost Detection in Visible Satellite Observations
Gary Doran, Serina Diniega, Steven Lu +2
Seasonal frosting and defrosting on the surface of Mars is hypothesized to drive both climate processes and the formation and evolution of geomorphological features such as gullies…
Interactive Mars Image Content-Based Search with Interpretable Machine Learning
Bhavan Vasu, Steven Lu, Emily Dunkel +3
The NASA Planetary Data System (PDS) hosts millions of images of planets, moons, and other bodies collected throughout many missions. The ever-expanding nature of data and user eng…