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Charted Depth Interpolation: Neuron Network Approaches
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 Title & Authors
Charted Depth Interpolation: Neuron Network Approaches
Shi, Chaojian;
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 Abstract
Continuous depth data are often required in applications of both onboard systems and maritime simulation. But data available are usually discrete and irregularly distributed. Based on the neuron network technique, methods of interpolation to the charted depth are suggested in this paper. Two algorithms based on Levenberg-Marquardt back-propaganda and radial-basis function networks are investigated respectively. A dynamic neuron network system is developed which satisfies both real time and mass processing applications. Using hyperbolic paraboloid and typical chart area, effectiveness of the algorithms is tested and error analysis presented. Special process in practical applications such as partition of lager areas, normalization and selection of depth contour data are also illustrated.
 Keywords
charted depth;neuron network;function approximation;spatial interpolatio;
 Language
English
 Cited by
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