Transfer-learning-based approach for leaf chlorophyll content estimation of winter wheat from hyperspectral data

2021/10/19 by Yao Zhang, Jian Hui, Qiming Qin +4 · 3 citations
Environmental Science · Agricultural and Biological Sciences · Chemistry · #Remote Sensing in Agriculture #Leaf Properties and Growth Measurement #Spectroscopy and Chemometric Analyses

paper · doi:10.1016/j.rse.2021.112724

Citations

• Machine learning regression algorithms for biophysical parameter retrieval: Opportunities for Sentinel-2 and -3

Cited by

• Transfer learning in environmental remote sensing
• High-throughput proximal ground crop phenotyping systems – A comprehensive review
• PINN-AMF: A physics-informed neural network with attention-based multi-source fusion for robust chlorophyll retrieval from UAV hyperspectral imagery