Bayesian classification in a time-varying environment

摘要: The problem of classifying a pattern based on multiple observation made in time-varying environment is analyzed. identity the may itself change. A Bayesian solution derived, after which conditions physical situation are invoked to produce cascade classifier model. Experimental results remote sensing data demonstrate effectiveness classifier.