Progress on waterline classifying methods & a new waterline classifying algorithm based on DEM
Cerui Sun, Yuehao Zhu · 2007
There exist many points to be improved on the current waterline classifying methods. The singularity of the classifying parameter leads to the lower precision of classifying result, and lack of interknit among the waterlines. On this background, this paper analyzes the progress on the study of valley streamline automatically classified methods, and the progress on Feature-Based GIS theory fully. At the same time the paper concludes the current problems and put up with the idea of designing the classifying algorithm to construct the classifying model based on FBGIS. Particularly, the model will take into account of the natural factors such as the land use and the social factors such as the scale of the city along the waterline, the amount of population of the city & the social-economic condition, etc. At last the paper gives us a discussion of the classifying methods.