Intelligent recognition and extraction depth from CAD
It is difficult to extract depth from CAD as the depth data often labelled by separate text and its integer,decimal,decimal,minus and other parts are separated and forms.Based on the idea of spatial association rule mining,by establishing a spatial layout topology table,using artificial neural networks for learning and classification recognition techniques,a algorithm to intelligent recognize and extract water depth data from CAD was brought out in this paper.The algorithm can extract depth without pre specifying format and other parameters with the characteristics of high accuracy,efficiency,automation and intelligence,which has certain application prospect and popularization value in the field of engineering.
water depth recognitionpattern recognitionBPNNCAD bathymetric mapchart depth
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