Tiebiao Zhao
Title
Cited by
Cited by
Year
Fractional calculus in image processing: a review
Q Yang, D Chen, T Zhao, YQ Chen
Fractional Calculus and Applied Analysis 19 (5), 1222-1249, 2016
1032016
A detailed field study of direct correlations between ground truth crop water stress and normalized difference vegetation index (NDVI) from small unmanned aerial system (sUAS)
T Zhao, B Stark, YQ Chen, AL Ray, D Doll
2015 International Conference on Unmanned Aircraft Systems (ICUAS), 520-525, 2015
402015
Comparing U-Net convolutional network with mask R-CNN in the performances of pomegranate tree canopy segmentation
T Zhao, Y Yang, H Niu, D Wang, YQ Chen
Multispectral, Hyperspectral, and Ultraspectral Remote Sensing Technology …, 2018
362018
Challenges in water stress quantification using small unmanned aerial system (suas): Lessons from a growing season of almond
T Zhao, B Stark, YQ Chen, AL Ray, D Doll
Journal of Intelligent & Robotic Systems 88 (2), 721-735, 2017
242017
An analysis of the effect of the bidirectional reflectance distribution function on remote sensing imagery accuracy from small unmanned aircraft systems
B Stark, T Zhao, YQ Chen
2016 International Conference on Unmanned Aircraft Systems (ICUAS), 1342-1350, 2016
232016
More reliable crop water stress quantification using small unmanned aerial systems (suas)
T Zhao, B Stark, YQ Chen, A Ray, D Doll
IFAC-PapersOnLine 49 (16), 409-414, 2016
202016
A new framework for UAV-based remote sensing data processing and its application in almond water stress quantification
T Zhao, D Doll, D Wang, YQ Chen
2017 International Conference on Unmanned Aircraft Systems (ICUAS), 1794-1799, 2017
192017
Melon yield prediction using small unmanned aerial vehicles
T Zhao, Z Wang, Q Yang, YQ Chen
Autonomous Air and Ground Sensing Systems for Agricultural Optimization and …, 2017
172017
Quantifying almond water stress using unmanned aerial vehicles (uavs): correlation of stem water potential and higher order moments of non-normalized canopy distribution
T Zhao, YQ Chen, A Ray, D Doll
ASME 2017 International Design Engineering Technical Conferences and …, 2017
162017
Single image super-resolution using self-optimizing mask via fractional-order gradient interpolation and reconstruction
Q Yang, Y Zhang, T Zhao, YQ Chen
ISA transactions 82, 163-171, 2018
142018
Tree canopy differentiation using instance-aware semantic segmentation
T Zhao, H Niu, E de la Rosa, D Doll, D Wang, YQ Chen
2018 ASABE Annual International Meeting, 1, 2018
142018
Maximum power point tracking with fractional order high pass filter for proton exchange membrane fuel cell
J Liu, T Zhao, YQ Chen
IEEE/CAA Journal of Automatica Sinica 4 (1), 70-79, 2017
142017
Fractional order robust visual servoing control of a quadrotor UAV with larger sampling period
B Shang, J Liu, T Zhao, YQ Chen
2016 International Conference on Unmanned Aircraft Systems (ICUAS), 1228-1234, 2016
142016
Fuzzy robust tracking control for uncertain nonlinear time-delay system
Z Du, TC Lin, T Zhao
International Journal of Computers Communications & Control 10 (6), 52-64, 2015
122015
A detailed study on accuracy of uncooled thermal cameras by exploring the data collection workflow
T Zhao, H Niu, A Anderson, YQ Chen, J Viers
Autonomous Air and Ground Sensing Systems for Agricultural Optimization and …, 2018
102018
A UAV resolution and waveband aware path planning for onion irrigation treatments inference
H Niu, T Zhao, D Wang, YQ Chen
2019 International Conference on Unmanned Aircraft Systems (ICUAS), 808-812, 2019
92019
Better almond water stress monitoring using fractional-order moments of non-normalized difference vegetation index
T Zhao, D Doll, YQ Chen
2017 ASABE Annual International Meeting, 1, 2017
92017
Fractional order nonlinear model predictive control using RIOTS_95
T Zhao, Z Li, YQ Chen
ICFDA'14 International Conference on Fractional Differentiation and Its …, 2014
92014
Estimating evapotranspiration with UAVs in agriculture: A review
H Niu, T Zhao, D Wang, YQ Chen
2019 ASABE Annual International Meeting, 1, 2019
82019
Onion irrigation treatment inference using a low-cost hyperspectral scanner
T Zhao, A Koumis, H Niu, D Wang, YQ Chen
Multispectral, Hyperspectral, and Ultraspectral Remote Sensing Technology …, 2018
82018
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