Urban land use land cover classification based on GF-6 satellite imagery and multi-feature optimization

Urban land use land cover classification based on GF-6 satellite imagery and multi-feature optimization

Urban land use/land cover (LULC) classification has long been a hotspot for remote sensing applications. With high spatio-temporal resolution and multispectral, the recently launched GF-6 satellite provides ideal open imagery for LULC mapping. In this study, we utilized multitemporal GF-6 images to...

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Bibliographic Details
Main Authors: Xiaobing Wei, Wen Zhang, Zhen Zhang, Haosheng Huang, Lingkui Meng
Format: Article
Language:English
Published: Taylor & Francis Group 2023-12-01
Series:Geocarto International
Subjects:
gf-6 imagery
urban land use/land cover
mrmr
random forest
extreme gradient boosting
Online Access:http://dx.doi.org/10.1080/10106049.2023.2236579

Internet

http://dx.doi.org/10.1080/10106049.2023.2236579

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