摘要

This paper presents a new terrain model simplification method based on adaptively determining the error function and subdivision strategy for terrain surface, according to the terrain features. In order to decrease the overhead of feature extraction, a hierarchy has been created and a corresponding algorithm of feature point selection has also been put forward. According to these feature points, many feature areas related to the nodes in the hierarchy are produced. Thus, the process of searching terrain features is accelerated greatly. After these adjacent feature areas are merged into one area through their matching degree, an adaptive error evaluation method is applied in the terrain area. As a result, the objective of improving the model precision is achieved. Those algorithms have been applied to many benchmark data, and the results show that our method is more efficient and the result model is of higher precision, compared with the other typical hierarchical subdivision methods.

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