Comparative analysis of different machine learning algorithms for urban footprint extraction in diverse urban contexts using high-resolution remote sensing imagery

GUI Baoling, Anshuman BHARDWAJ, Lydia SAM

Journal of Geographical Sciences ›› 2025, Vol. 35 ›› Issue (3) : 664-696.

PDF(1746 KB)
PDF(1746 KB)
Journal of Geographical Sciences ›› 2025, Vol. 35 ›› Issue (3) : 664-696. DOI: 10.1007/s11442-025-2339-y
Research Articles

Comparative analysis of different machine learning algorithms for urban footprint extraction in diverse urban contexts using high-resolution remote sensing imagery

    {{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

Download Citations
{{article.zuoZheEn_L}}. {{article.title_en}}[J]. {{journal.qiKanMingCheng_EN}}, 2025, 35(3): 664-696 https://doi.org/10.1007/s11442-025-2339-y

References

References

{{article.reference}}

Funding

RIGHTS & PERMISSIONS

{{article.copyrightStatement_en}}
{{article.copyrightLicense_en}}
PDF(1746 KB)

Accesses

Citation

Detail

Sections
Recommended

/