Classification of Airborne LiDAR Point Cloud Data Based on Multiscale Adaptive Features

Shujuan Yang; Keshu Zhang; Yongshe Shao

doi:10.3788/AOS201939.0228001

Journals >Acta Optica Sinica >Volume 39 >Issue 2 >Page 0228001 > Article

Acta Optica Sinica
Vol. 39, Issue 2, 0228001 (2019)

Classification of Airborne LiDAR Point Cloud Data Based on Multiscale Adaptive Features

Shujuan Yang^1、2、*, Keshu Zhang^2、*, and Yongshe Shao²

Author Affiliations

¹ University of Chinese Academy of Sciences, Beijing 100049, China

² Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China

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DOI: 10.3788/AOS201939.0228001 Cite this Article Set citation alerts

Shujuan Yang, Keshu Zhang, Yongshe Shao. Classification of Airborne LiDAR Point Cloud Data Based on Multiscale Adaptive Features[J]. Acta Optica Sinica, 2019, 39(2): 0228001 Copy Citation Text

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References

Shujuan Yang, Keshu Zhang, Yongshe Shao. Classification of Airborne LiDAR Point Cloud Data Based on Multiscale Adaptive Features[J]. Acta Optica Sinica, 2019, 39(2): 0228001

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