Research on Semi Supervised Small Sample Tree Species Classification Based on Entropy Weight and Ensemble Learning

Jing WANG; Jing LI

doi:10.7525/j.issn.1006-8023.2025.01.012

PDF(2631 KB)

Forest Engineering ›› 2025, Vol. 41 ›› Issue (1) : 151-161. DOI: 10.7525/j.issn.1006-8023.2025.01.012

Forest Industry Technology and Equipment

Research on Semi Supervised Small Sample Tree Species Classification Based on Entropy Weight and Ensemble Learning

{{article.zuoZhe_EN}}

Author information +

History +

HeighLight

Abstract

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}}, 2025, 41(1): 151-161 https://doi.org/10.7525/j.issn.1006-8023.2025.01.012

References

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

References

Funding

RIGHTS & PERMISSIONS

PDF(2631 KB)

Accesses

Citation

Detail

Sections

Recommended

Received	Published
2024-07-09	2025-01-15
Issue Date
2024-12-27

Please choose a citation manager

Content to export