JDL Level 0 and 1 algorithms for processing and fusion of hard sensor data

Jeffrey C. Rimland, Ganesh M. Iyer, Rachana R. Agumamidi, Soumya V. Pisupati, Jake Graham

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations


A current trend in information fusion involves distributed methods of combining both conventional "hard" sensor data and human-based "soft" information in a manner that exploits the most useful and accurate capabilities of each modality. In addition, new and evolving technologies such as Flash LIDAR have greatly enhanced the ability of a single device to rapidly sense attributes of a scene in ways that were not previously possible. At the Pennsylvania State University we are participating in a multi-disciplinary university research initiative (MURI) program funded by the U.S. Army Research Office to investigate issues related to fusing hard and soft data in counterinsurgency (COIN) situations. We are developing level 0 and level 1 methods (using the Joint Directors of Laboratories (JDL) data fusion process model) for fusion of physical ("hard") sensor data. Techniques include methods for data alignment, tracking, recognition, and identification for a sensor suite that includes LIDAR, multi-camera systems, and acoustic sensors. The goal is to develop methods that dovetail on-going research in soft sensor processing. This paper describes various hard sensor processing algorithms and their evolving roles and implementations within a distributed hard and soft information fusion system.

Original languageEnglish (US)
Title of host publicationDefense Transformation and Net-Centric Systems 2011
StatePublished - 2011
EventDefense Transformation and Net-Centric Systems 2011 - Orlando, FL, United States
Duration: Apr 27 2011Apr 28 2011

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
ISSN (Print)0277-786X


OtherDefense Transformation and Net-Centric Systems 2011
Country/TerritoryUnited States
CityOrlando, FL

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering


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