Combining spectral and wavelet texture features for unmanned aerial vehicles remote estimation of rice leaf area index

Combining spectral and wavelet texture features for unmanned aerial vehicles remote estimation of rice leaf area index

Estimating the crop leaf area index (LAI) accurately is very critical in agricultural remote sensing, especially in monitoring crop growth and yield prediction. The development of unmanned aerial vehicles (UAVs) has been significant in recent years and has been extensively applied in agricultural re...

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Bibliographic Details
Main Authors: Cong Zhou, Yan Gong, Shenghui Fang, Kaili Yang, Yi Peng, Xianting Wu, Renshan Zhu
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-08-01
Series:Frontiers in Plant Science
Subjects:
leaf area index (LAI)
vegetation index (VI)
unmanned aerial vehicle (UAV)
remote sensing (RS)
texture
wavelet
Online Access:https://www.frontiersin.org/articles/10.3389/fpls.2022.957870/full

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