Processing Updated Imagery for Use in Dismounted Mission Planning on NETT Warrior

Authors

  • Gene Fogh Department of Systems Engineering, United States Military Academy, West Point, New York
  • Chris Gramling Department of Systems Engineering, United States Military Academy, West Point, New York
  • Mitch Hansen Department of Systems Engineering, United States Military Academy, West Point, New York
  • Ella Mason Department of Systems Engineering, United States Military Academy, West Point, New York
  • Davie Chennault Department of Systems Engineering, United States Military Academy, West Point, New York
  • Gregory Bew Department of Systems Engineering, United States Military Academy, West Point, New York

DOI:

https://doi.org/10.37266/ISER.2015v3i2.pp91-97

Abstract

Small unit leaders need real time images to aid in planning missions and making decisions. Currently, this ability partially exists through the use of short range Unmanned Aerial Vehicles (UAV) like Raven and Shadow, which provide unprocessed imagery. There is a limited capability to gather imagery for a large area, process it into a useable format, and deliver the product to the small unit leader. Android-based platforms like Nett Warrior currently use older, primarily satellite, imagery to depict the battle space. We are creating a process that takes up to date satellite and UAV imagery in a format that is available as an offline map and use the Nett Warrior platform to deliver this imagery to small unit leaders. This enhanced imagery will allow leaders to plan missions in a more effective manner due to the updated imagery and the benefits mobile maps provide.

References

An Open Platform(2015), An Open Platform. MapBox, n.d. Web. 12 Mar. 2015.

Bailey, Brian (2012). Rebuilding through Innovation. CE News. Zweig White LLC, Apr. 2012. Web. 10 Dec. 2014.

Butler, Jeffery T. (2001) UAVs and ISR Sensor Technology. Air Comand and Staff College, Apr. 2001. Web.

Connors, Erin (2012). Offline Mapping: Providing Map SA to the Disconnected Dismount. Briefing. Natick: MITRE, 2012.

EBee (2015). SenseFly:eBee. Parrot, n.d. Web. 11 Mar. 2015.

Geospatial Data Abstraction Library (2015). GDAL:. N.p., n.d. Web. 12 Mar. 2015. < http://www.gdal.org/>

GeoTIFF (2015). GeoTIFF. N.p., n.d. Web. 12 Mar. 2015. < http://trac.osgeo.org/geotiff/>

GeoTIFF - A Standard Image File Format for GIS Applications (2015).

GeoTIFF - A Standard Image File Format for GIS Applications. N.p., n.d. Web. 12 Mar. 2015.

GeoTIFF FAQ Version 2.4 (2015). GeoTIFF FAQ. N.p., n.d. Web. 12 Mar. 2015.

Hu, Hui, Tomas M. Fernandez-Steeger, Mei Dong, and Rafig Azzam. Merging Lidar Data with Geophysical Data to Automatically Generate Numerical Models (2011): n. pag. Universitaets-Verlag Der Technischen Univiversitaet Berlin. Web. <http://eds.a.ebscohost.com/eds/detail/detail?sid=f2f5820b-e8b0-41e8-a13f-227a367c6737%40sessionmgr4003&vid=0&hid=4211&bdata=JnNpdGU9ZWRzLWxpdmU%3d#db=geh&AN=2013-026607>.

Hui, Li, Zhong Cheng, Xiaogunag Hu, and Xaio Long (2013). New Methodologies for Precise Building Boundary Extraction from LiDAR Data and High Resolution Image. Sensor Review 33.2 (2013): 157-65. Pro Quest. Emerald Group Publishing, Limited. Web.

LIDAR for Missle Defense. Global Security. N.p., n.d. Web. <http://www.globalsecurity.org/space/systems/lidar.htm>.

Sedlacek, Arthur, Mark Ray, N. S. Higdon, and D. A. Richter. Short-range, Non-contact Detection of Surface Contamination Using Raman Lidar. (n.d.): n. pag. Web. <http://www.ecd.bnl.gov/pubs/BNL69445.pdf>.

Selfridge, Robert. Development of Parameters for the Collection and Analysis of Lidar at Military Munitions Sites (2010), DTIC. ENVIRONMENTAL SECURITY TECHNOLOGY CERTIFICATION PROGRAM OFFICE (DOD), Jan. 2010. Web. http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA573684#.

Published

2015-07-16

How to Cite

Fogh, G., Gramling, C., Hansen, M., Mason, E., Chennault, D., & Bew, G. (2015). Processing Updated Imagery for Use in Dismounted Mission Planning on NETT Warrior. Industrial and Systems Engineering Review, 3(2), 91-97. https://doi.org/10.37266/ISER.2015v3i2.pp91-97

Issue

Vol. 3 No. 2 (2015): Industrial and Systems Engineering Review - Special Issue

Section

Articles

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