A Novel Hierarchical Clustering Sequential Forward Feature Selection Method for Paddy Rice Agriculture Mapping Based on Time-Series Images

Timely and accurate mapping of rice distribution is crucial to estimate yield, optimize agriculture spatial patterns, and ensure global food security. Feature selection (FS) methods have significantly improved computational efficiency by reducing redundancy in spectral and temporal feature sets, pla...

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Bibliographic Details

Published in:	Agriculture
Main Authors:	Xingyin Duan, Xiaobo Wu, Jie Ge, Li Deng, Liang Shen, Jingwen Xu, Xiaoying Xu, Qin He, Yixin Chen, Xuesong Gao, Bing Li
Format:	Article
Language:	English
Published:	MDPI AG 2024-08-01
Subjects:	Sentinel-2 time-series spectral feature HCSFS feature selection rice mapping
Online Access:	https://www.mdpi.com/2077-0472/14/9/1468