A semantic segmentation method for urban point clouds combining spatial perception and multi-scale features

WANG Enjie, LIN Tesi, JIN Zihao, LIANG Haoxuan, ZHANG Feng

Geomatics World ›› 2026, Vol. 33 ›› Issue (1) : 78-89.

PDF(11167 KB)
EN中文
PDF(11167 KB)
Geomatics World ›› 2026, Vol. 33 ›› Issue (1) : 78-89. DOI: 10.20117/j.jsti.202601011
Spatiotemporal Intelligent Remote Sensing

A semantic segmentation method for urban point clouds combining spatial perception and multi-scale features

    {{javascript:window.custom_author_en_index=0;}}
  • {{article.zuoZhe_EN}}
Author information +
History +

HeighLight

{{article.keyPoints_en}}

Abstract

{{article.zhaiyao_en}}

Key words

QR code of this article

Cite this article

EndNote

Ris (Procite)

Bibtex

Download Citations
{{article.zuoZheEn_L}}. {{article.title_en}}[J]. {{journal.qiKanMingCheng_EN}}, 2026, 33(1): 78-89 https://doi.org/10.20117/j.jsti.202601011

References

List( Publishing order | Descend order by publishing year | Descend order by cited within ) Chart analysis

References

{{article.reference}}

Funding

RIGHTS & PERMISSIONS

{{article.copyrightStatement_en}}
{{article.copyrightLicense_en}}
PDF(11167 KB)

Accesses

Citation

Detail
Sections
Recommended

/

〈 〉