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Improved Leaf Chlorophyll Content Estimation with Deep Learning and Feature Optimization Using Hyperspectral Measurements

Xianfeng Zhou Ruiju Sun Zhaojie Zhang Yuanyuan Song Lijiao Jin Lin Yuan

Phyton-International Journal of Experimental Botany2025，Vol.94Issue(2)：P.503-519,17.

Phyton-International Journal of Experimental Botany2025，Vol.94Issue(2)：P.503-519,17.DOI:10.32604/phyton.2025.060827

Improved Leaf Chlorophyll Content Estimation with Deep Learning and Feature Optimization Using Hyperspectral Measurements

Xianfeng Zhou ¹Ruiju Sun ²Zhaojie Zhang ²Yuanyuan Song ²Lijiao Jin ²Lin Yuan³

作者信息

1. Zhejiang Zhengyuan Geomatics Co.,Ltd.,Huzhou,313203,China School of Artificial Intelligence,Hangzhou Dianzi University,Hangzhou,310018,China
2. Zhejiang Zhengyuan Geomatics Co.,Ltd.,Huzhou,313203,China
3. School of Computer Science and Technology,Zhejiang University of Water Resources and Electric Power,Hangzhou,310018,China
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摘要

关键词

Convolutional neural network/gaussian process regression/spectral index/competitive adaptive reweighted sampling/transfer learning/leaf chlorophyll content

分类

农业科技

引用本文复制引用

Xianfeng Zhou,Ruiju Sun,Zhaojie Zhang,Yuanyuan Song,Lijiao Jin,Lin Yuan..Improved Leaf Chlorophyll Content Estimation with Deep Learning and Feature Optimization Using Hyperspectral Measurements[J].Phyton-International Journal of Experimental Botany,2025,94(2):P.503-519,17.

基金项目

supported by the National Natural Science Foundation of China(Project Nos.41901268 and 42371385) （Project Nos.41901268 and 42371385）

Zhejiang Provincial Natural Science Foundation of China(Grant No.LTGN23D010002). （Grant No.LTGN23D010002）

Phyton-International Journal of Experimental Botany

ISSN：0031-9457

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