Statistical Evaluation of FOP Features.
Abstract
This report describes research conducted to determine the potential of automatic classification of military targets from large area surveillance radar systems. The Air Force has developed the Modular Change Detector (MCD) for performing real-time change detection using a reference and mission pair of radar images. The automatic classification experiments performed under this contract established the feasibility of automatically screening certain classes of military targets. Three automatic classification experiments were demonstrated with 100% correct classification of military equipment in operational deployment. With the incorporating of this screening technique on the output of the MCD it is possible to cue an interpreter to particular targets of interest. Such cueing helps discriminate against false alarms changes, which previous studies have shown increases the interpreters coverage rate and his probability of detection. (Author)
Document Details
- Document Type
- Technical Report
- Publication Date
- Jun 01, 1978
- Accession Number
- ADA060039
Entities
People
- D. Hanson
- L. Kirvida
- Luke Baumann
Organizations
- Control Data Corporation