All the above we're looking at almost goes back to the one. There's no one size fits all. All. It's all the above. Right. We do, we do call it essentially filtering, but essentially we, We do on over processing and we use various techniques to oftentimes to lower the data volume metrics down. to make it easier to move around. We do that on the ground as well. You really have to look at the specific problem and, and, and develop a strategy to go offer it after it. (57:26–57:41)
CLAIM
Asserts that [Troy Meink's organization] employs on-orbit processing to reduce data volume.
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