Likelihood factors analytic expressions and structural scheme of their forming were received for the radar signals recognition task solving. C�HTE3 AIlrOP�TMA PACn03HABAH�fI KIlACCOB PA.Q�OIlOKAU�OHHbIX C�rHAIlOB AopoCI!1HCKl!1111 n. r. AHHomal.lUR -nOIlY4eHbi aHaIlIII TIII 4eCKill e Bblpa>KeHIII R K03CPCPIII l.\lII eHTOB npaBAonoAo6111 R III CTPYKTypHaR cxeMa III X CPOPMIll PO BaHIII R AIlR peweHIII R 3aAa4111 pacn03HaBaHIII R paAIliOIlOKal.\III OHHbIX Clll rHaIlOB.
In the process of solving a wide range of tasks concerning the Earth surface remote sensing and its state monitoring, the main role is played by the algorithm of the surface image forming and the algorithm of images and their fragments classification as well. From the statistical point of view the solution is based on the maximum-likelihood method. The paper presents analytical equations for likelihood coefficients and the structural scheme of their forming in the solution of radar signal recognition. To analyze the efficiency of the proposed algorithms are found boundary equations for probability calculating of correct signals with the usage of Chernoff-Kailath ratios. This ratios evaluate the upper and lower probability boundaries of correct and incorrect decisions in the case of classification of optional class number from different type surfaces.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.