Scalable Database Support for Correlation and Fusion Algorithms

Report
Authors:Barros, J, Institute for Parallel ComputationUniversity of Virginia French, J, Institute for Parallel ComputationUniversity of Virginia
Abstract:

The process of extracting useful information from noisy sensor data is an important part of applications such as environmental analysis and military surveillance. Difficulties arise with analyzing the accuracy of the reports and in processing the total number of reports. Automated methods capable of handling noisy information from multiple sensors must be employed to assist the human analyst. This report investigates scalable database support for such systems. Region estimation and range retrieval techniques are employed to dramatically reduce retrieval and overall execution times.

Rights:
All rights reserved (no additional license for public reuse)
Language:
English
Source Citation:

Barros, J, and J French. "Scalable Database Support for Correlation and Fusion Algorithms." University of Virginia Institute for Parallel Computation Tech Report (1993).

Publisher:
University of Virginia, Institute for Parallel Computation
Published Date:
1993