Special attention is paid to the need for reasonable generalization aimed at adequately displaying the characteristic features of the seabed relief profile in accordance with the principle of navigational isosurface in electronic visualization of underwater relief. It is assumed that as a result of generalization of the bottom relief, safety contours can be extracted directly, since they represent traces of a cross-section of the profile of the underwater relief with horizontal planes. A hypothesis has been put forward on the applicability of the B-spline approximation for modeling a safety contour in order to effectively implement a practical guarantee against grounding a ship. A modification of the safety contour based on the control of the smoothness of the constructed curve in the form of bending of a serpentine B-spline structure has been tested. An analysis of the optimality of configuring B-splines on a variable type of supports is carried out with the determination of preference for the cubic case. The straightening of the safety contour focuses on local deformation while maintaining strategic descriptive characteristics. The use of the smoothing procedure on the deep side of the safety contour is justified, provided that the basis points of the synthesized curve are artificially preserved. The data of the author’s computational experiment on the accuracy of calculation by cubic B-splines with a result two orders of magnitude higher than theoretically predicted are presented. It is noted that the technologies of automated processing of bathymetric survey results do not replace the human factor, but provide the potential to unlock new cognitive capabilities of an expert in the transition from lithographic publications to digital cartographic products. The arsenal of basic piecewise approximation is interpreted as the variability of the model of an additive B-spline neural network to provide an incentive for the use of artificial intelligence to generalize contour lines of marine subjects. It is emphasized that the spline technology, by its mathematical architecture, is basically devoid of the computational problem of dimensionality, which serves as an additional factor for the use of piecewise approximation in solving complex navigation tasks.
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