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

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