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《Science of Surveying and Mapping》 2013-05
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Virtual observation method based on Helmert variance component estimation

ZHU Jun-tao;SUN Chang-yu;JIAO Yuan-yuan;College of Geomatics and Geoinformation,Guilin University of Technology/Guangxi Key Laboratory of Spatial Information and Geomatics;  
The paper excavated a priori information as virtual observation and the actual observation establish the error model,used Helmert variance component estimation theory to solve the model. Practical examples showed that this method was better than least squares or compensative least squares method in fitting results with its feasibility and efficiency in physical interpretation and fitting results.
【Fund】: 国家自然科学基金(41071294)
【CateGory Index】: P207
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