Open AccessReal Terrain Simulation based on Point Cloud of Water Area and Land Area
Author(s) -
Hongzhang MA
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1651/1/012075
Subject(s) - point cloud , computer science , terrain , robustness (evolution) , cloud computing , trigonometric functions , water area , matrix (chemical analysis) , transformation (genetics) , reliability (semiconductor) , algorithm , mathematical optimization , computer vision , mathematics , geology , geometry , geography , cartography , geotechnical engineering , biochemistry , chemistry , materials science , composite material , gene , operating system , power (physics) , physics , quantum mechanics
The joint simulation of land and water integration plays an increasingly important role in surveying and mapping, water conservancy, and land resources supervision. Based on the theory of 3D coordinate transformation, this paper discusses the application of Rodrigues’s matrix and indirect adjustment model in the iterative calculation of point cloud registration parameters. In this method, anti-symmetric matrix elements are used to form a rotation matrix, which avoids the complex trigonometric function operation of traditional methods, and improves the efficiency of calculation while ensuring the accuracy, and can easily calculate the initial value of parameters. Experimental results demonstrate that the proposed method has the advantages of high accuracy, robustness, stability, and reliability.