大地测量与地球动力学2012，Vol.32Issue(5)：86-90,94,6.
Bursa非线性转换模型7参数的粒子群解法
RESEARCH ON BURSA NONLINEAR 7-PARAMETER TRANSFORMATION WITH PSO ALGORITHM
摘要
Abstract
The 7-parameter is the main parameter for space coordinate transformation,and the minor error of 7-parameter could lead to large coordinate conversion deviances. In order to improve the computational accuracy of 7-parameter,a mathematical model of Bursa 7-parameter analysis baaed on the partical swarm optimization(PSO) algorithm was established. Compared with a least square method,the model can avoid effectively the matrix' s morbidity problem, difficulty of selecting initial values, the convergence of algorithm. Finally, the practical application shows that the model has many advantages such as high accuracy and can be adapted large rotation angle.关键词
Bursa模型/7参数/非线性转换/粒子群算法/空间坐标Key words
Bursa/7-parameter/nonlinear transformation/PSO(Partical Swarn Oplimization) /3D coordinate分类
天文与地球科学引用本文复制引用
杨星,朱大栋,赵钢,李志清..Bursa非线性转换模型7参数的粒子群解法[J].大地测量与地球动力学,2012,32(5):86-90,94,6.基金项目
水利部公益性项目(201001070) （201001070）
