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《Site Investigation Science and Technology》 2015-05
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Study on Error Correction Method of Airborne LIDAR Altitude Data System Based on Neural Network

Zhang Yingyan;Tian Linya;Fu Wuzhou;Cao Qi;Liu Feng;Changzhou Surveying and Mapping Institute;Department of Surveying and Mapping Science and Engineering,Hohai University;  
This paper introduces the basic theory of BP neural network algorithm,and it also introduces the neural network algorithm model. The control point correction model is built by neural network algorithm to correct the LIDAR altitude data in the experimental area and then the accuracy is verified.Through the verification,the accuracy and the excellent and good rate of the LIDAR altitude data in experiment area after the correction are all improved. The gross error is stable,it can meet the 1: 10000 DLG altitude accuracy requirement. This LIDAR data can be applicated and extended in basic surveying and mapping.
【CateGory Index】: P237
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