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RESEARCH ON BURSA NONLINEAR 7-PARAMETER TRANSFORMATION WITH PSO ALGORITHM

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 based 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.