ABSTRACT
In 1993, D. L. Hall and R. J. Linn1 conducted a survey of commercial off the shelf (COTS) software to support development of data fusion systems for applications such as automatic target recognition, identi cation-friend-foe-neutral processing, and battle eld surveillance. In the survey, they described a number of emerging packages containing basic algorithms for signal processing, image processing, statistical estimation, and prototyping of expert systems. Since the publication of that paper, extensive progress has been made in data fusion for both Department of Defense (DoD) applications as well as non-DoD applications. The basic algorithms and techniques for data fusion have evolved2 and engineering standards are beginning to emerge for system design3 and requirement derivation and analysis.4 Numerous data fusion systems have been developed for DoD applications5,6 and systems are beginning to be developed for non-DoD applications such as the conditionbased monitoring of complex mechanical systems.7† In addition, non-DoD applications such as data mining, pattern recognition, and knowledge discovery have spurred the development of commercial software tools8 and general packages such as MATLAB9 and Mathematica.10 Because of these rapid developments along with the emergence of COTS packages for prototyping data fusion applications, it was deemed worthwhile to update
the survey conducted by Hall and Linn. S. A. Hall and R. R. Sherry updated the original survey by Hall and Linn and presented that survey at the 2002 MSS National Symposium on Sensor and Data Fusion. This chapter provides an update of that paper and presents a summary of the updated survey, identi es some applicable COTS software, and provides a survey of surveys related to data fusion systems and software.
