Aesthetic Orientation of Nautical Charts and the Assimilation of Printmaking Attributes Based on Neural Network Analysis

Abstract

Wang, W.D., 2020. Aesthetic orientation of nautical charts and the assimilation of printmaking attributes based on neural network analysis. In: Bai, X. and Zhou, H. (eds.), Advances in Water Resources, Environmental Protection, and Sustainable Development. Journal of Coastal Research, Special Issue No. 115, pp. 606-609. Coconut Creek (Florida), ISSN 0749-0208.In order to obtain the chart of sea land integration in a certain area quickly. This paper introduces a method of generating grid data of seabed regular digital elevation model (DEM) of electronic chart based on RBF neural network, which is aesthetic orientation of chart and assimilation of its print attributes. Thus, it lays a foundation for the realization of three-dimensional visualization of the electronic chart, in which the neural network algorithm is used to deal with the whole chart strictly. Experimental and practical results show that the method meets the application requirements.