most citedUsing Machine Learning to Reduce Observational Biases When Detecting New Impacts on Mars

15 citations · 15 across the 1 of their papers we have counts for

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1 paper

cs.LG2022★ 15 cited

Using Machine Learning to Reduce Observational Biases When Detecting New Impacts on Mars

Kiri L. Wagstaff, Ingrid J. Daubar, Gary Doran +5

The current inventory of recent (fresh) impacts on Mars shows a strong bias towards areas of low thermal inertia. These areas are generally visually bright, and impacts create dark…