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Quan Wang 0005
Person information
- affiliation: Shizuoka University, Faculty of Agriculture, Japan
Other persons with the same name
- Quan Wang — disambiguation page
- Quan Wang 0001 — University of Southern California, Computer Science Department, Los Angeles, CA, USA
- Quan Wang 0002 — University of Science and Technology of China, Beijing Research Institute, China (and 3 more)
- Quan Wang 0003 — Yale University School of Medicine, New Haven, CT, USA
- Quan Wang 0004 — Vanderbilt University School of Medicine, Department of Biomedical Informatics, Nashville, TN, USA
- Quan Wang 0006 — Xidian University, School of Computer Science and Technology, Xi'an, China
- Quan Wang 0007 — Shandong University of Science and Technology, Geomatics College, Qingdao, China
- Quan Wang 0008 — Xi'an University of Technology, China
- Quan Wang 0009 — Wuxi SensingNet Industrialization Research Institute, China (and 1 more)
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2020 – today
- 2024
- [j32]Yi Gan, Quan Wang, Guangman Song:
Non-Destructive Estimation of Deciduous Forest Metrics: Comparisons between UAV-LiDAR, UAV-DAP, and Terrestrial LiDAR Leaf-Off Point Clouds Using Two QSMs. Remote. Sens. 16(4): 697 (2024) - [j31]Jia Jin, Quan Wang, Jie Zhuang:
Coupling Light Intensity and Hyperspectral Reflectance Improve Estimations of the Actual Electron Transport Rate of Mango Leaves (Mangifera indica L.). Remote. Sens. 16(18): 3523 (2024) - [j30]Yunhui Tan, Quan Wang, Zhaoyang Zhang:
Tree-Based Machine Learning Estimation of Near-Real-Time Diffuse Solar Irradiance From Himawari-8 Satellite Data. IEEE Trans. Geosci. Remote. Sens. 62: 1-9 (2024) - 2023
- [j29]Guangman Song, Quan Wang, Jia Jin:
Estimation of leaf photosynthetic capacity parameters using spectral indices developed from fractional-order derivatives. Comput. Electron. Agric. 212: 108068 (2023) - [j28]Guangman Song, Quan Wang:
Species classification from hyperspectral leaf information using machine learning approaches. Ecol. Informatics 76: 102141 (2023) - [j27]Yi Gan, Quan Wang, Atsuhiro Iio:
Tree Crown Detection and Delineation in a Temperate Deciduous Forest from UAV RGB Imagery Using Deep Learning Approaches: Effects of Spatial Resolution and Species Characteristics. Remote. Sens. 15(3): 778 (2023) - [j26]Jie Zhuang, Quan Wang, Guangman Song, Jia Jin:
Validating and Developing Hyperspectral Indices for Tracing Leaf Chlorophyll Fluorescence Parameters under Varying Light Conditions. Remote. Sens. 15(19): 4890 (2023) - [j25]Shaoxiong Yuan, Guangman Song, Qinghua Gong, Quan Wang, Jun Wang, Jun Chen:
Reshaping Leaf-Level Reflectance Data for Plant Species Discrimination: Exploring Image Shape's Impact on Deep Learning Results. Remote. Sens. 15(24): 5628 (2023) - [j24]Guangman Song, Quan Wang, Jia Jin:
Fractional-Order Derivative Spectral Transformations Improved Partial Least Squares Regression Estimation of Photosynthetic Capacity From Hyperspectral Reflectance. IEEE Trans. Geosci. Remote. Sens. 61: 1-10 (2023) - 2022
- [j23]Guangman Song, Quan Wang:
Developing Hyperspectral Indices for Assessing Seasonal Variations in the Ratio of Chlorophyll to Carotenoid in Deciduous Forests. Remote. Sens. 14(6): 1324 (2022) - [j22]Shaoxiong Yuan, Guangman Song, Guangqing Huang, Quan Wang:
Reshaping Hyperspectral Data into a Two-Dimensional Image for a CNN Model to Classify Plant Species from Reflectance. Remote. Sens. 14(16): 3972 (2022) - [j21]Jia Jin, Mengjuan Wu, Guangman Song, Quan Wang:
Genetic Algorithm Captured the Informative Bands for Partial Least Squares Regression Better on Retrieving Leaf Nitrogen from Hyperspectral Reflectance. Remote. Sens. 14(20): 5204 (2022) - [j20]Mengjuan Wu, Quan Wang, Jinlin Wang, Kefa Zhou, Zhixin Zhang, Xiumei Ma, Weitao Chen:
Quantifying the Abundances of Minerals of Granitic Composition Using the Hapke Model of Bidirectional Reflectance. IEEE Trans. Geosci. Remote. Sens. 60: 1-11 (2022) - 2021
- [j19]Guangman Song, Quan Wang:
Including Leaf Traits Improves a Deep Neural Network Model for Predicting Photosynthetic Capacity from Reflectance. Remote. Sens. 13(21): 4467 (2021) - [j18]Enguang Li, Zhaoyang Zhang, Yunhui Tan, Quan Wang:
A Novel Cloud Detection Algorithm Based on Simplified Radiative Transfer Model for Aerosol Retrievals: Preliminary Result on Himawari-8 Over Eastern China. IEEE Trans. Geosci. Remote. Sens. 59(3): 2550-2561 (2021) - [j17]Mengjuan Wu, Jinlin Wang, Quan Wang, Kefa Zhou, Zhixin Zhang, Xiumei Ma, Weitao Chen:
Retrieval of Particle Size of Natural Granite From Multiangular Bidirectional Reflectance Spectra Using the Hapke Model (June 2020). IEEE Trans. Geosci. Remote. Sens. 59(8): 6537-6548 (2021) - 2020
- [j16]Jia Jin, Bayu Arief Pratama, Quan Wang:
Tracing Leaf Photosynthetic Parameters Using Hyperspectral Indices in an Alpine Deciduous Forest. Remote. Sens. 12(7): 1124 (2020)
2010 – 2019
- 2019
- [j15]Gang Liu, Guofang Zhang, Quan Wang, Shaomin Ji, Lizhi Zhang:
Fine-grained access control method for private data in android system. Int. J. Distributed Sens. Networks 15(3) (2019) - [j14]Jia Jin, Quan Wang:
Evaluation of Informative Bands Used in Different PLS Regressions for Estimating Leaf Biochemical Contents from Hyperspectral Reflectance. Remote. Sens. 11(2): 197 (2019) - [j13]Lei Zhou, Yuhang Wang, Yonggang Chi, Shaoqiang Wang, Quan Wang:
Contrasting Post-Fire Dynamics between Africa and South America based on MODIS Observations. Remote. Sens. 11(9): 1074 (2019) - [j12]Mengjuan Wu, Kefa Zhou, Quan Wang, Jinlin Wang:
Mapping Hydrothermal Zoning Pattern of Porphyry Cu Deposit Using Absorption Feature Parameters Calculated from ASTER Data. Remote. Sens. 11(14): 1729 (2019) - [j11]Jia Jin, Quan Wang:
Selection of Informative Spectral Bands for PLS Models to Estimate Foliar Chlorophyll Content Using Hyperspectral Reflectance. IEEE Trans. Geosci. Remote. Sens. 57(5): 3064-3072 (2019) - 2018
- [j10]Jia Jin, Quan Wang:
Informative bands used by efficient hyperspectral indices to predict leaf biochemical contents are determined by their relative absorptions. Int. J. Appl. Earth Obs. Geoinformation 73: 616-626 (2018) - [j9]Rei Sonobe, Quan Wang:
Nondestructive assessments of carotenoids content of broadleaved plant species using hyperspectral indices. Comput. Electron. Agric. 145: 18-26 (2018) - [c3]Gang Liu, Lu Fang, Quan Wang, Xiaoqian Qi, Juan Cui, Jiayu Liu:
Resource and Attribute Based Access Control Model for System with Huge Amounts of Resources. GPC 2018: 49-63 - 2017
- [j8]Rei Sonobe, Quan Wang:
Hyperspectral indices for quantifying leaf chlorophyll concentrations performed differently with different leaf types in deciduous forests. Ecol. Informatics 37: 1-9 (2017) - [j7]Rei Sonobe, Quan Wang:
Towards a Universal Hyperspectral Index to Assess Chlorophyll Content in Deciduous Forests. Remote. Sens. 9(3): 191 (2017) - [c2]Gang Liu, Guofang Zhang, Runnan Zhang, Juan Cui, Quan Wang, Shaomin Ji:
An improved blp model with response blind area eliminated. ISNCC 2017: 1-6 - 2016
- [j6]Jia Jin, Quan Wang:
Hyperspectral indices based on first derivative spectra closely trace canopy transpiration in a desert plant. Ecol. Informatics 35: 1-8 (2016) - [c1]Quan Wang, Rei Sonobe:
Tracing photosynthetic electron transport rate based on hyperspectral reflectance. IGARSS 2016: 1723-1726 - 2015
- [j5]Lu Xu, Quan Wang:
Retrieval of Soil Water Content in Saline Soils from Emitted Thermal Infrared Spectra Using Partial Linear Squares Regression. Remote. Sens. 7(11): 14646-14662 (2015) - [j4]Sinan Zhang, Quan Wang:
Inverse Retrieval of Chlorophyll From Reflected Spectra for Assimilating Branches of Drought-TolerantTamarix ramosissima. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 8(4): 1498-1505 (2015) - 2012
- [j3]Pingbin Jin, Quan Wang, Atsuhiro Iio, John Tenhunen:
Retrieval of seasonal variation in photosynthetic capacity from multi-source vegetation indices. Ecol. Informatics 7(1): 7-18 (2012) - [j2]Quan Wang, Pingheng Li, Xi Chen:
Retrieval of Soil Salt Content From an Integrated Approach of Combining Inversed Reflectance Model and Regressions: An Experimental Study. IEEE Trans. Geosci. Remote. Sens. 50(10): 3950-3957 (2012) - 2011
- [j1]Pingheng Li, Quan Wang:
Retrieval of Leaf Biochemical Parameters Using PROSPECT Inversion: A New Approach for Alleviating Ill-Posed Problems. IEEE Trans. Geosci. Remote. Sens. 49(7): 2499-2506 (2011)
Coauthor Index
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