Shuo Shi - Citegraph

Author Info

Name	Affiliation	Papers
SHUO SHI	Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & R, Wuhan 430079, Peoples R China	16
Collaborators	Citations	PageRank
55	15	6.21
Referers	Referees	References
52	110	34

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100110

Publications (16 rows)

Collaborators (55 rows)

Referers (52 rows)

Referees (100 rows)

Title	Citations	PageRank	Year
Tracking of Land Reclamation Activities Using Landsat Observations-An Example in Shanghai and Hangzhou Bay	0	0.34	2022
Target Classification of Similar Spatial Characteristics in Complex Urban Areas by Using Multispectral LiDAR	0	0.34	2022
Using HSI Color Space to Improve the Multispectral Lidar Classification Error Caused by Measurement Geometry	0	0.34	2021
Optimized Estimation Of Leaf Mass Per Area With A 3d Matrix Of Vegetation Indices	0	0.34	2021
Improving The Selection Of Vegetation Index Characteristic Wavelengths By Using The Prospect Model For Leaf Water Content Estimation	0	0.34	2021
Land Cover Classification with Multispectral LiDAR Based on Multi-Scale Spatial and Spectral Feature Selection	0	0.34	2021
True-Color Reconstruction Based On Hyperspectral Lidar Echo Energy	0	0.34	2021
Parameter Simulation and Design of an Airborne Hyperspectral Imaging LiDAR System	0	0.34	2021
Estimation of Multi-Species Leaf Area Index Based on Chinese GF-1 Satellite Data Using Look-Up Table and Gaussian Process Regression Methods.	0	0.34	2020
Novel Combined Spectral Indices Derived from Hyperspectral and Laser-Induced Fluorescence LiDAR Spectra for Leaf Nitrogen Contents Estimation of Rice.	0	0.34	2020
Active 3D Imaging of Vegetation based on Multi-Wavelength Fluorescence LiDAR.	0	0.34	2020
Distributed Congestion Control via Outage Probability Model for Delay-Constrained Flying Ad Hoc Networks	0	0.34	2020
Excitation Wavelength Analysis of Laser-Induced Fluorescence LiDAR for Identifying Plant Species.	0	0.34	2016
Estimation of rice leaf nitrogen contents based on hyperspectral LIDAR	6	0.60	2016
Improving Backscatter Intensity Calibration for Multispectral LiDAR	6	0.74	2015
Investigating the Potential of Using the Spatial and Spectral Information of Multispectral LiDAR for Object Classification	3	0.47	2015

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