1. 关键采样点高效判定的 TIN-DDM 缓冲面 快速构建算法.
- Author
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张志强, 董 箭, 彭认灿, 季宏超, 朱立波, and 张明阳
- Subjects
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TIME complexity , *GEOGRAPHIC information systems , *OCEAN engineering , *CONSTRUCTION planning , *DIMENSIONAL analysis - Abstract
Objectives: Three dimensional buffer analysis is a spatial analysis function widely used in geographic information systems, which is of great significance in underwater submersible terrain matching navigation, submarine engineering construction planning, submarine pollution source diffusion analysis and other bathymetric research fields. The traditional buffer surface construction algorithm has limitations in the application of triangulated irregular network digital depth model (TIN-DDM) model accuracy and modeling efficiency. Therefore, taking the rolling ball acceleration optimization model with controllable accuracy threshold as the analysis object, we propose a fast TIN-DDM buffer surface construction algorithm based on the efficient determination of key sampling points. Methods: The main research contents are as follows: (1) Based on the spatial distribution characteristic analysis of alternative point sets, through the numerical convergence analysis of the critical rolling ball radius, the trial iteration strategy of critical rolling sphere radius is designed, then a new criterion for determining key sampling points is given. (2) The spatial data block index modeling is applied to the rapid positioning of adjacent alternative points, and an efficient judgment model of key sampling points for rapid positioning of spatial index is established. Results: From the statistical results of the key data link list parameters and the actual buffer surface construction images, the proposed method can be used to build the buffer surface, and is consistent with the construction accuracy of the rolling ball accelerated optimization model. From the results of buffer surface construction time consuming of different TIN-DDM water depth data, the time consuming of this method is obviously better than that of the rolling ball accelerated optimization model. Conclusions: The experimental results show that in the face of massive TIN-DDM data, the proposed algorithm can effectively improve the construction efficiency of buffer surface on the basis of ensuring the construction accuracy of buffer surface, and reduce the time complexity of overall buffer surface construction. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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