一种融合地表特征表示的嵌套几何误差度量算法

三维地形可视化处理中的一个关键问题是选取高效合理的误差度量算法，实现地形多分辨率层次细节模型的快速建立与地形构建高度逼真两者之间的平衡。在地表特征量化的基础上，计算地形局部熵，结合视距标准给出地形节点评价函数；提出基于顶点几何嵌套误差的地形节点分辨率阈值控制方法，结合地形逼真度计算，给出一种融合地表特征表示的嵌套几何误差度量算法SFNE。实验表明，SFNE算法在实现地形模型快速构建的同时保证了模型视觉质量，相较经典算法，SFNE对地表细节表达更为逼真。

Error Metrics Algorithm Fusion of Nested Geometric and Terrain Surface Feature Representation

In order to achieve performance balance between rapid establishment of terrain multi resolution model and highly realistic, a key issue of 3D terrain visualization processing is the selection of reasonable and efficient error metric algorithm. Based on surface feature quantification, this paper calculates local entropy, gives terrain node evaluation function in combination with the sight standard, presents the terrain node resolution threshold control method based on vertex geometric nesting error, and gives a nested geometric error metrics algorithm named SFNE in relation to the calculation of the terrain fidelity with fusion of terrain surface feature representation. Experiments show that SFNE algorithm not only achieves rapid construction of terrain model but also ensures the model visual quality. Compared with the classical algorithm, SFNE expression has more vivid details of terrain surface.