0

Full Content is available to subscribers

Subscribe/Learn More  >
Proceedings Article

Placement of Full Motion Video (FMV) frames in geographic context using pursuer

[+] Author Affiliations
Clark N. Taylor, Daniel Uppenkamp

Air Force Research Lab. (United States)

Kevin Shannon

Intelligent Software Solutions (United States)

Proc. SPIE 8386, Full Motion Video (FMV) Workflows and Technologies for Intelligence, Surveillance, and Reconnaissance (ISR) and Situational Awareness, 83860G (May 1, 2012); doi:10.1117/12.917969
Text Size: A A A
From Conference Volume 8386

  • Full Motion Video (FMV) Workflows and Technologies for Intelligence, Surveillance, and Reconnaissance (ISR) and Situational Awareness
  • Baltimore, Maryland, USA | April 23, 2012

abstract

When viewing full motion video (FMV) from an unmanned aerial vehicle, the "context" of the video (the location and orientation of objects within the video) is often as important to the end-user as the video itself. To provide context to video being collected in real-time, we have developed a system for placing frames from a FMV stream in a geographic context. As a visualization platform, we utilize Pursuer, a US Air Force "government-o-the- shelf" system based on NASA's World Wind software package. Pursuer provides an intuitive interface for viewing several dierent layers of imagery, including pre-existing maps, reference imagery, and recently collected imagery, all placed within geographical context (similar to Google Earth). The focus of this paper is the technology developed for creating a Pursuer layer for FMV streams. We present results obtained from small UAV ights in Florida and New York and discuss needed future improvements.© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Citation

Clark N. Taylor ; Daniel Uppenkamp and Kevin Shannon
"Placement of Full Motion Video (FMV) frames in geographic context using pursuer", Proc. SPIE 8386, Full Motion Video (FMV) Workflows and Technologies for Intelligence, Surveillance, and Reconnaissance (ISR) and Situational Awareness, 83860G (May 1, 2012); doi:10.1117/12.917969; http://dx.doi.org/10.1117/12.917969


Access This Article
Sign In to Access Full Content
Please Wait... Processing your request... Please Wait.
Sign in or Create a personal account to Buy this article ($15 for members, $18 for non-members).
 

Figures

Tables

NOTE:
Citing articles are presented as examples only. In non-demo SCM6 implementation, integration with CrossRef’s "Cited By" API will populate this tab (http://www.crossref.org/citedby.html).

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging & repositioning the boxes below.

Related Book Chapters

Topic Collections

Advertisement


Buy this article ($18 for members, $25 for non-members).
Sign In