H
Huanhuan Yuan
Publications - 5
Citations - 354
Huanhuan Yuan is an academic researcher. The author has contributed to research in topics: Hyperspectral imaging & Ecosystem. The author has an hindex of 3, co-authored 4 publications receiving 212 citations.
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Journal ArticleDOI
Retrieving Soybean Leaf Area Index from Unmanned Aerial Vehicle Hyperspectral Remote Sensing: Analysis of RF, ANN, and SVM Regression Models
Huanhuan Yuan,Guijun Yang,Changchun Li,Yanjie Wang,Jiangang Liu,Yu Haiyang,Haikuan Feng,Bo Xu,Zhao Xiaoqing,Xiaodong Yang +9 more
TL;DR: The precision, accuracy, and stability of the RF, ANN, and SVM models were improved by inclusion of STR sampling, and the RF model is suitable for estimating LAI when sample plots and variation are relatively large and more than one growth period.
Journal ArticleDOI
A Comparison of Crop Parameters Estimation Using Images from UAV-Mounted Snapshot Hyperspectral Sensor and High-Definition Digital Camera
Jibo Yue,Haikuan Feng,Xiuliang Jin,Huanhuan Yuan,Zhenhai Li,Chengquan Zhou,Guijun Yang,Qingjiu Tian +7 more
TL;DR: The results show that the spectral performance of the sensors is crucial in LAI estimates (the wheat LAI cannot be accurately estimated over multiple growing stages when using only crop height), which are ranked from best to worst.
Journal ArticleDOI
The DOM Generation and Precise Radiometric Calibration of a UAV-Mounted Miniature Snapshot Hyperspectral Imager
TL;DR: The generation of a digital orthophoto map (DOM) and radiometric calibration for images taken by a miniaturized snapshot hyperspectral camera mounted on a lightweight unmanned aerial vehicle (UAV) and proposed method to correct the RRV effect.
Proceedings ArticleDOI
Selecting Corn Agronomic Traits in Breeding high potential Yield: effects of Stem Structure
TL;DR: Wang et al. as discussed by the authors explored the effects of stem structure on biomass, yield and economic coefficient of corn, the grey relation analysis, correlation analysis and path analysis were used to analyze the relationship of five agronomic traits of corn.
Journal ArticleDOI
Remote Sensing of Autumn Phenology by Including Surface Soil Temperature: Algorithm Development, Calibration, and Validation
TL;DR: In this article , the authors compared the potential between Ts and air temperature (Ta) as the indicators of EOS by using flux data from 14 deciduous broadleaf forests, 24 evergreen needleleaf forests (ENF), 7 mixed forests, and 23 nonforests over Northern temperate and boreal regions (30°-60°N) for 2001-2014.