An Efficient Class-Constrained DBSCAN Approach for Large-Scale Point Cloud Clustering

Hua Zhang; Zhenwei Duan; Wenzhong Shi; Nanshan Zheng; Yong Li; yu zeng

doi:10.1109/JSTARS.2022.3201991

An Efficient Class-Constrained DBSCAN Approach for Large-Scale Point Cloud Clustering

Hua Zhang, Zhenwei Duan, Wenzhong Shi, Nanshan Zheng, Yong Li, yu zeng

Research output: Journal article publication › Journal article › Academic research › peer-review

15 Citations (Scopus)

Abstract

An Efficient Class-Constrained DBSCAN Approach for Large-Scale Point Cloud Clustering

Original language	English
Pages (from-to)	7323
Number of pages	7332
Journal	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Volume	15
DOIs	https://doi.org/10.1109/JSTARS.2022.3201991
Publication status	Published - 26 Aug 2022

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10.1109/JSTARS.2022.3201991

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title = "An Efficient Class-Constrained DBSCAN Approach for Large-Scale Point Cloud Clustering",

abstract = "An Efficient Class-Constrained DBSCAN Approach for Large-Scale Point Cloud Clustering",

author = "Hua Zhang and Zhenwei Duan and Wenzhong Shi and Nanshan Zheng and Yong Li and yu zeng",

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doi = "10.1109/JSTARS.2022.3201991",

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AU - Zhang, Hua

AU - Duan, Zhenwei

AU - Shi, Wenzhong

AU - Zheng, Nanshan

AU - Li, Yong

AU - zeng, yu

PY - 2022/8/26

Y1 - 2022/8/26

N2 - An Efficient Class-Constrained DBSCAN Approach for Large-Scale Point Cloud Clustering

AB - An Efficient Class-Constrained DBSCAN Approach for Large-Scale Point Cloud Clustering

U2 - 10.1109/JSTARS.2022.3201991

DO - 10.1109/JSTARS.2022.3201991

M3 - Journal article

SN - 1939-1404

VL - 15

SP - 7323

JO - IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

JF - IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

ER -

An Efficient Class-Constrained DBSCAN Approach for Large-Scale Point Cloud Clustering

Abstract

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