STAC: A comprehensive sensor fusion model for scene characterization

Zsolt Kira, Alan R. Wagner, Chris Kennedy, Jason Zutty, Grady Tuell

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

3 Scopus citations


We are interested in data fusion strategies for Intelligence, Surveillance, and Reconnaissance (ISR) missions. Advances in theory, algorithms, and computational power have made it possible to extract rich semantic information from a wide variety of sensors, but these advances have raised new challenges in fusing the data. For example, in developing fusion algorithms for moving target identification (MTI) applications, what is the best way to combine image data having different temporal frequencies, and how should we introduce contextual information acquired from monitoring cell phones or from human intelligence? In addressing these questions we have found that existing data fusion models do not readily facilitate comparison of fusion algorithms performing such complex information extraction, so we developed a new model that does. Here, we present the Spatial, Temporal, Algorithm, and Cognition (STAC) model. STAC allows for describing the progression of multi-sensor raw data through increasing levels of abstraction, and provides a way to easily compare fusion strategies. It provides for unambiguous description of how multi-sensor data are combined, the computational algorithms being used, and how scene understanding is ultimately achieved. In this paper, we describe and illustrate the STAC model, and compare it to other existing models.

Original languageEnglish (US)
Title of host publicationMultisensor, Multisource Information Fusion
Subtitle of host publicationArchitectures, Algorithms, and Applications 2015
EditorsJerome J. Braun
ISBN (Electronic)9781628416145
StatePublished - 2015
EventMultisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2015 - Baltimore, United States
Duration: Apr 21 2015 → …

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X


OtherMultisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2015
Country/TerritoryUnited States
Period4/21/15 → …

All Science Journal Classification (ASJC) codes

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


Dive into the research topics of 'STAC: A comprehensive sensor fusion model for scene characterization'. Together they form a unique fingerprint.

Cite this