Methods and implications of geopositioning from full motion video

Jeffrey J. Carpenter; Paul V. Whalen; Michael J. Lenihan; Kurt R. Rogers; Henry J. Theiss; John Dolloff; Aaron W. Braun

doi:10.1117/12.2018048

16 May 2013 Methods and implications of geopositioning from full motion video

Jeffrey J. Carpenter, Paul V. Whalen, Michael J. Lenihan, Kurt R. Rogers, Henry J. Theiss, John Dolloff, Aaron W. Braun

Proceedings Volume 8740, Motion Imagery Technologies, Best Practices, and Workflows for Intelligence, Surveillance, and Reconnaissance (ISR), and Situational Awareness; 87400E (2013) https://doi.org/10.1117/12.2018048
Event: SPIE Defense, Security, and Sensing, 2013, Baltimore, Maryland, United States

Abstract

Geolocation of objects or points of interest on the ground from airborne sensors is an enabler to support many useful purposes. While many commercial handheld cameras today perform rudimentary geo-tagging of images, few outside of commercial or military tactical airborne sensors have implemented the methods necessary to produce full three-dimensional coordinates as well as perform rigorous metric error propagation to estimate the uncertainties of those calculated coordinates. The critical ingredients for this fully metric capability include careful characterization of the sensor system, capturing and disseminating a complete metadata profile with the imagery, and having a validated sensor model to support the necessary transformations between the image space and the ground space. This paper describes important characteristics of metadata, the methods of geopositioning which can be applied, and including advantages and limitations. In addition, it will present the benefits of using active sensors and some recent efforts focusing on geopositioning from full-motion video (FMV) sensors.

Citation Download Citation

Jeffrey J. Carpenter, Paul V. Whalen, Michael J. Lenihan, Kurt R. Rogers, Henry J. Theiss, John Dolloff, and Aaron W. Braun "Methods and implications of geopositioning from full motion video", Proc. SPIE 8740, Motion Imagery Technologies, Best Practices, and Workflows for Intelligence, Surveillance, and Reconnaissance (ISR), and Situational Awareness, 87400E (16 May 2013); https://doi.org/10.1117/12.2018048

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