Data fusion through fuzzy reasoning applied to feature extraction from multisensory images
Data fusion through fuzzy reasoning applied to feature extraction from multisensory images
Using genetic algorithms and neural networks for surface land minedetection
IEEE Transactions on Signal Processing
Information fusion for wireless sensor networks: Methods, models, and classifications
ACM Computing Surveys (CSUR)
Modeling recognizing behavior of radar high resolution range profile using multi-agent system
WSEAS Transactions on Information Science and Applications
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Receiver Operating Curves are used in the analysis of 20 images using a novel Automatic Target Recognition (ATR) Fusion System. Fuzzy reasoning is used to improve the accuracy of the automatic detection of aircraft in Synthetic Aperture Radar (SAR) images using a priori knowledge derived from color aerial photographs. The images taken by the two different sensors are taken at different times. In summarizing the results of our experiments using real and generated targets with noise for a probability of detection of 91.5 percent using the ATR fusion technique, we have improved our false alarm rates by approximately 17 percent over using texture classification.