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Bayesian gamma mixture model approach to radar target recognition
IEEE Transactions on Aerospace and Electronic Systems
This paper develops a Bayesian gamma mixture model approach to automatic target recognition (ATR). The specific problem considered is the classification of radar range profiles (RRPs) of military ships. However, the approach developed is relevant to the generic discrimination problem. We model the radar returns (data measurements) from each target as a gamma mixture distribution. Several different motivations for the use of mixture models are put forward, with gamma components being chosendoi:10.1109/taes.2003.1261122 fatcat:qfdzo4xj3rg5lhzq7ghnhmbg7q