  The sensor to shooter timeline is affected by two main variables: satellite
positioning and asset positioning. Speeding up satellite positioning by adding
more sensors or by decreasing processing time is important only if there is a
prepared shooter, otherwise the main source of time is getting the shooter into
position. However, the intelligence community should work towards the
exploitation of sensors to the highest speed and effectiveness possible.
Achieving a high effectiveness while keeping speed high is a tradeoff that must
be considered in the sensor to shooter timeline. In this paper we investigate
two main ideas, increasing the effectiveness of satellite imagery through image
manipulation and how on-board image manipulation would affect the sensor to
shooter timeline. We cover these ideas in four scenarios: Discrete Event
Simulation of onboard processing versus ground station processing, quality of
information with cloud cover removal, information improvement with super
resolution, and data reduction with image to caption. This paper will show how
image manipulation techniques such as Super Resolution, Cloud Removal, and
Image to Caption will improve the quality of delivered information in addition
to showing how those processes effect the sensor to shooter timeline.
