Solution of overdetermined systems of equations using the conforming subsystem selection
Vladimir Fursov, Anton Kotov, Yegor Goshin
Abstract
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Vladimir Fursov, Anton Kotov, Yegor Goshin
Abstract
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Abstract Within this research, we consider an overdetermined system of equations generated on a small number of observations. The degrees of freedom of the overdetermined system and the number of observations are roughly equal. We propose a modification of the Conformed Estimates Method (CEM). The method improvement consists of the usage of an auxiliary system, which is formed from the initial system by reducing the columns. The estimates can be obtained on the higher-level auxiliary subsystem, which is the freest from noise. We consider our method in the problem of computing Rational Polynomial Coefficients (RPCs) from well-established Ground Control Points (GCPs).
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Abstract Within this research, we consider an overdetermined system of equations generated on a small number of observations. The degrees of freedom of the overdetermined system and the number of observations are roughly equal. We propose a modification of the Conformed Estimates Method (CEM). The method improvement consists of the usage of an auxiliary system, which is formed from the initial system by reducing the columns. The estimates can be obtained on the higher-level auxiliary subsystem, which is the freest from noise. We consider our method in the problem of computing Rational Polynomial Coefficients (RPCs) from well-established Ground Control Points (GCPs).
Key concepts: Overdetermined system, Polynomial, Selection (genetic algorithm), Mathematics, System of linear equations, Degrees of freedom (physics and chemistry), Applied mathematics, Noise (video)