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Classification method for aerial LiDAR data based on Markov random field

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2 Author(s)
Zheng, Y. ; Nat. Key Lab. of Sci. & Technol. on Multi-spectral Inf. Process., Huazhong Univ. of Sci. & Technol., Wuhan, China ; Cao, Z.

A novel classification method for aerial LiDAR data is proposed. It is implemented by maximising the marginal probabilities, inferred from a Markov random field which models the neighbourhood and altitude difference between surface patches extracted from LiDAR points. Experiment results show the proposed method can classify the LiDAR data properly.

Published in:

Electronics Letters  (Volume:47 ,  Issue: 16 )

Date of Publication:

Aug. 4 2011

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