Artículos con órdenes de acceso público - Zhou ZhangMás información
No disponibles en ningún lugar: 9
An unsupervised domain adaptation deep learning method for spatial and temporal transferable crop type mapping using Sentinel-2 imagery
Y Wang, L Feng, Z Zhang, F Tian
ISPRS Journal of Photogrammetry and Remote Sensing 199, 102-117, 2023
Órdenes: National Natural Science Foundation of China
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
Órdenes: US Department of Agriculture
Multisource maximum predictor discrepancy for unsupervised domain adaptation on corn yield prediction
Y Ma, Z Yang, Z Zhang
IEEE Transactions on Geoscience and Remote Sensing 61, 1-15, 2023
Órdenes: US Department of Agriculture
A Bayesian domain adversarial neural network for corn yield prediction
Y Ma, Z Zhang
IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2022
Órdenes: US Department of Agriculture
Spatial-Spectral Similarity based on Adaptive Region For Landslide Inventory Mapping With Remote Sensed Images
Z Lv, T Yang, T Lei, W Zhou, Z Zhang, Z You
IEEE Transactions on Geoscience and Remote Sensing 62, 4405111, 2024
Órdenes: National Natural Science Foundation of China
A new Bayesian semi-supervised active learning framework for large-scale crop mapping using Sentinel-2 imagery
Y Xu, J Zhou, Z Zhang
ISPRS Journal of Photogrammetry and Remote Sensing 209, 17-34, 2024
Órdenes: US Department of Agriculture
Hyperspectral response and monitoring study of soil moisture content based on the optimized spectral index
X Yan, X Qiao, S Yang, M Feng, X Song, M Zhang, L Xiao, Z Zhang, ...
Soil Science Society of America Journal 87 (2), 216-230, 2023
Órdenes: National Natural Science Foundation of China
Semi-supervised multi-metric active learning for classification of hyperspectral images
Z Zhang, MM Crawford
2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2016
Órdenes: US National Aeronautics and Space Administration
Classification of multi-source sensor data with limited labeled data
MM Crawford, S Prasad, X Zhou, Z Zhang
Algorithms and Technologies for Multispectral, Hyperspectral, and …, 2015
Órdenes: US National Aeronautics and Space Administration
Disponibles en algún lugar: 39
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
Órdenes: US Department of Agriculture
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
Órdenes: US Department of Agriculture
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
Órdenes: US Department of Agriculture
Ensemble-based cascaded constrained energy minimization for hyperspectral target detection
R Zhao, Z Shi, Z Zou, Z Zhang
Remote Sensing 11 (11), 1310, 2019
Órdenes: National Natural Science Foundation of China
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
Órdenes: US National Aeronautics and Space Administration
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
Órdenes: State of Califonia
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
Órdenes: US Department of Agriculture
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
Órdenes: US Department of Energy
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
Órdenes: US Department of Energy
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
Órdenes: US Department of Agriculture
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
Órdenes: US Department of Energy, US Department of Agriculture
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