Titlebook: Image Pattern Recognition; V. A. Kovalevsky Book 1980 Springer-Verlag New York Inc. 1980 Mustererkennung.algorithms.classification.noise.p

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The Reference-Sequence Method,criterion of similarity between the observed image and the prototype is the corresponding likelihood, treated as a function of the parameters of the prototype. Recognition consists in determining those values of the parameters that maximize the similarity between the prototype and the observed image.

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Book 1980sional signals. Therefore the solution of the recognition problem must be based on a priori postulates (concerning the sets of signals to be recognized) that will narrow the set of possible classifications, i.e., the set of decision functions. This notion can be taken as the methodological basis for

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at the end part of this paper. Numerical simulations for receiver’s power need to be further studied. Using the SMEX02 GPS-R experimental data, bistatic vegetation scattering model is studied, it will provide some helpful research for GPS-R vegetation-covered soil moisture retrieval and GPS-R veget

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V. A. Kovalevskysed on ACP approach, analyzes the feasibility of constructing the artificial system which is consistent with realistic control and management of actual GNSS, and describes the methods and key technologies for modeling, analysis, and operation with artificial system, computational experiments, and pa

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V. A. Kovalevskyion delay and the shortcoming of the ABAS performance affected by GNSS satellites distribution. But current RRAIM methods are basically based on LS manner, which may suffers the noise introduced by carrier phase observations. Aiming at this problem, this paper introduces a RRAIM methods are basicall

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