Full-motion video georegistration for accuracy improvement, accuracy assessment, and robustness

Charles R. Taylor; Reuben J. Settergren

doi:10.1117/12.919194

24 May 2012 Full-motion video georegistration for accuracy improvement, accuracy assessment, and robustness

Charles R. Taylor, Reuben J. Settergren

Proceedings Volume 8386, Full Motion Video (FMV) Workflows and Technologies for Intelligence, Surveillance, and Reconnaissance (ISR) and Situational Awareness; 838607 (2012) https://doi.org/10.1117/12.919194
Event: SPIE Defense, Security, and Sensing, 2012, Baltimore, Maryland, United States

Abstract

Emerging standards for video metadata provide the means, in principle, for accurate geopositioning from full motion video. Georegistration to reference data as part of the workflow adds value by improving the metadata accuracy, establishing a check against mismodeling in the metadata and the corresponding a priori error covariance, and providing a mechanism to recover usable geopositioning capability in the event of failure of the system generating or transmitting the metadata. Georegistration may be done on board the collecting platform, at a ground station, or at any point in the exploitation process. A system capable of full motion video georegistration to reference data will be described, which establishes a photogrammetrically rigorous sensor model for each video frame. The sensor model operating parameters and error covariance are updated based on matches between pairs of frames and between frames and reference data. The challenge of finding associations between the reference data and the video images taken under very different imaging conditions is met by using both direct and feature matching approaches. Methodology for the validation of georegistration will be presented. Test results will be given for an operational real-time video georegistration system.

Citation Download Citation

Charles R. Taylor and Reuben J. Settergren "Full-motion video georegistration for accuracy improvement, accuracy assessment, and robustness", Proc. SPIE 8386, Full Motion Video (FMV) Workflows and Technologies for Intelligence, Surveillance, and Reconnaissance (ISR) and Situational Awareness, 838607 (24 May 2012); https://doi.org/10.1117/12.919194

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