The specification of geolocation accuracy requirements and their validation is essential for the proper performance of a
Geolocation System and for trust in resultant three dimensional (3d) geolocations. This is also true for predicted
accuracy requirements and their validation for a Geolocation System, which assumes that each geolocation produced
(extracted) by the system is accompanied by an error covariance matrix that characterizes its specific predicted accuracy.
The extracted geolocation and its error covariance matrix are standard outputs of (near) optimal estimators, either
associated (internally) with the Geolocation System itself, or with a “downstream” application that inputs a subset of
Geolocation System output, such as sensor data/metadata: for example, a set of images and corresponding metadata of
the imaging sensor’s pose and its predicted accuracy. This output allows for subsequent (near) optimal extraction of
geolocations and associated error covariance matrices based on the application’s measurements of pixel locations in the
images corresponding to objects of interest. This paper presents recommended methods and detailed equations for the
specification and validation of both accuracy and predicted accuracy requirements for a general Geolocation System.
The specification/validation of accuracy requirements are independent from the specification/validation of predicted
accuracy requirements. The methods presented in this paper are theoretically rigorous yet practical.
John Dolloff and Jacqueline Carr, "Methods for the specification and validation of geolocation accuracy and predicted accuracy," Proc. SPIE 10199, Geospatial Informatics, Fusion, and Motion Video Analytics VII, 1019908 (Presented at SPIE Defense + Security: April 12, 2017; Published: 1 May 2017); https://doi.org/10.1117/12.2263855.
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