Sensors Expo & Conference 2020

Sensors mounted on instruments that are flown in space are capable of returning data in the nanoseconds per sample rate. For multi-year missions, this results in a tremendous amount of data. Visualization using time-series data analysis over long-time periods becomes demanding, in terms of time to display the results and memory to hold the data being rendered. Some techniques to reduce high resolution data in order to optimize visualization are being studied. This session discusses various schemes used to address data reduction to optimize rendering time for long-range time-series data analysis, ramifications that data format selection can have on data reduction techniques that are being applied on large data sets, and more.