However, systematic errors cannot be removed from positional information unless some means exist for their detection, such as compar-ing this information against given control. Consequently, if systematic errors are not removed, they will have an effect, for example, on geodetic and photogrammetric measurements and the resulting positional information. Statistical techniques are used to measure and identify these errors. These measures convey a confidence level to the user for the probably accuracy of NIMA data. Depending on the data's intended use, geospatial accuracy's are usually expressed in terms of absolute or relative accuracy, or both.
Absolute accuracy tells how close each feature or data point is to the specified higher standard.
It includes all random and systematic errors. Relative accuracy tells how close the measured distance or elevation is between two features or data points over a specified distance within the standard. It includes only random errors. Understanding and predicting TLE is particularly crucial to autono-mous weapons development because of low CEP objectives. Precision and Accuracy.