SPATIAL COORDINATE TRANSFORMATION BASED ON MULTIPLEPARAMETER REGULARIZATION AND ITS ACCURACY ANALYSIS
Chen Zhengyu 1) ; and Liu Chun 1,2)
1)Department of Surveying and Geoinformatics, Tongji University, Shanghai 2000922)Key Laboratory of Advanced Engineering Survey of SBSM, Shanghai 200092
Abstract Threedimensional coordinate transformation is widely used in indoor computation for surveying and mapping. The transformated parameters may directly influence the accuracy of transformationed points. These parameters can be obtained with least square by at least three common points under Bursa model. Because of the illposed coefficient matrix, the obtain parameters is uncertain. In order to improve the accuracy and reliability,we put forward a transformation model considering translation, rotation and scale parameters by Tikhonov multiple parameter regularization based on Morozov bias principle. The simulated examples verify that the accuracy of the transformed coordinates in peripheral area and its stability can be significantly improved by multiple parameter regularization.
Chen Zhengyu ,and Liu Chun. SPATIAL COORDINATE TRANSFORMATION BASED ON MULTIPLEPARAMETER REGULARIZATION AND ITS ACCURACY ANALYSIS[J]. , 2008, 28(1): 92-95.
Chen Zhengyu ,and Liu Chun. SPATIAL COORDINATE TRANSFORMATION BASED ON MULTIPLEPARAMETER REGULARIZATION AND ITS ACCURACY ANALYSIS[J]. jgg, 2008, 28(1): 92-95.
