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Zhou Zhang
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Alfalfa yield prediction using UAV-based hyperspectral imagery and ensemble learning
L Feng, Z Zhang, Y Ma, Q Du, P Williams, J Drewry, B Luck
Remote Sensing 12 (12), 2028, 2020
1582020
Combining multi-source data and machine learning approaches to predict winter wheat yield in the conterminous United States
Y Wang, Z Zhang, L Feng, Q Du, T Runge
Remote Sensing 12 (8), 1232, 2020
1162020
Corn yield prediction and uncertainty analysis based on remotely sensed variables using a Bayesian neural network approach
Y Ma, Z Zhang, Y Kang, M Özdoğan
Remote Sensing of Environment 259, 112408, 2021
1132021
An Active Learning Framework for Hyperspectral Image Classification Using Hierarchical Segmentation
Z Zhang, E Pasolli, MM Crawford, JC Tilton
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2016
932016
California Almond Yield Prediction at the Orchard Level With a Machine Learning Approach
Z Zhang, Y Jin, B Chen, P Brown
Frontiers in Plant Science 10, 809, 2019
792019
Ensemble-based cascaded constrained energy minimization for hyperspectral target detection
R Zhao, Z Shi, Z Zou, Z Zhang
Remote Sensing 11 (11), 1310, 2019
792019
Automated ortho-rectification of UAV-based hyperspectral data over an agricultural field using frame RGB imagery
A Habib, Y Han, W Xiong, F He, Z Zhang, M Crawford
Remote Sensing 8 (10), 796, 2016
752016
A new attention-based CNN approach for crop mapping using time series Sentinel-2 images
Y Wang, Z Zhang, L Feng, Y Ma, Q Du
Computers and electronics in agriculture 184, 106090, 2021
632021
Boresight calibration of GNSS/INS-assisted push-broom hyperspectral scanners on UAV platforms
A Habib, T Zhou, A Masjedi, Z Zhang, JE Flatt, M Crawford
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2018
552018
Geographically and temporally weighted neural network for winter wheat yield prediction
L Feng, Y Wang, Z Zhang, Q Du
Remote Sensing of Environment 262, 112514, 2021
452021
Prediction of end-of-season tuber yield and tuber set in potatoes using in-season UAV-based hyperspectral imagery and machine learning
C Sun, L Feng, Z Zhang, Y Ma, T Crosby, M Naber, Y Wang
Sensors 20 (18), 5293, 2020
382020
An adaptive multiview active learning approach for spectral–spatial classification of hyperspectral images
Z Zhang, E Pasolli, MM Crawford
IEEE Transactions on Geoscience and Remote Sensing 58 (4), 2557-2570, 2019
382019
Prediction of sorghum biomass based on image based features derived from time series of UAV images
Z Zhang, A Masjedi, J Zhao, MM Crawford
2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2017
382017
A least mean square based active disturbance rejection control for an inertially stabilized platform
C Bai, Z Zhang
Optik-International Journal for Light and Electron Optics 174, 609-622, 2018
312018
An adaptive adversarial domain adaptation approach for corn yield prediction
Y Ma, Z Zhang, HL Yang, Z Yang
Computers and Electronics in Agriculture 187, 106314, 2021
272021
A batch-mode regularized multimetric active learning framework for classification of hyperspectral images
Z Zhang, MM Crawford
IEEE Transactions on Geoscience and Remote Sensing 55 (11), 6594-6609, 2017
262017
Multitask learning of alfalfa nutritive value from UAV-based hyperspectral images
L Feng, Z Zhang, Y Ma, Y Sun, Q Du, P Williams, J Drewry, B Luck
IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2021
222021
Do game data generalize well for remote sensing image segmentation?
Z Zou, T Shi, W Li, Z Zhang, Z Shi
Remote Sensing 12 (2), 275, 2020
222020
Multimetric Active Learning for Classification of Remote Sensing Data
Z Zhang, E Pasolli, HL Yang, MM Crawford
IEEE Geoscience and Remote Sensing Letters 13 (7), 2016
182016
Hyperspectral and panchromatic image fusion using unmixing-based constrained nonnegative matrix factorization
Z Zhang, Z Shi, Z An
Optik 124 (13), 1601-1608, 2013
172013
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