Study on Lidar Data Interpolation Method Based on GA-BP

Yi Kun Zhang; Ming Hui Zhang; Xin Hong Hei; Deng Xin Hua; Hao Chen

doi:10.4028/www.scientific.net/AMR.588-589.1312

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 588-589Study on Lidar Data Interpolation Method Based on...

Study on Lidar Data Interpolation Method Based on GA-BP

Abstract:

Aiming at building a Lidar data interpolation model, this paper designs and implements a GA-BP interpolation method. The proposed method uses genetic method to optimize BP neural network, which greatly improves the calculation accuracy and convergence rate of BP neural network. Experimental results show that the proposed method has a higher interpolation accuracy compared with BP neural network as well as linear interpolation method.

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Periodical:

Advanced Materials Research (Volumes 588-589)

Pages:

1312-1315

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.588-589.1312

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Online since:

November 2012

Authors:

Yi Kun Zhang, Ming Hui Zhang, Xin Hong Hei, Deng Xin Hua, Hao Chen

Keywords:

BP Neural Network (BPNN), Genetic Method, Interpolation, LiDAR

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