Primary Data Analysis and Preparation for Dtm Generation
نویسنده
چکیده
Experience in digital terrain modelling has shown, that analysis and preparation of the primary data is of great importance both for the productivity and the quality of DTM modelling. The paper presents a semi-automatic procedure to analyze the primary data in a numerical and graphical way. After gross error detection and data structuring using a triangular irregular network (TIN) the density and distribution of the data is checked with the aim to get adequate parameters for the fmal DTM generation by the Finite Element Method. In addition to this, tools for data completion and data refinement (e.g. automatic derivation of skeleton lines) can be supplied. The effect of the data preparation can be visualized quickly by updating the TIN and derived follow up products. Key Wo.rds: Data Quality, DTM, Preprocessing.
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