Nonnegative matrix factorization-based hyperspectral and panchromatic image fusion. - Zhou Zhang 001; Zhenwei Shi (Neural Comput. Appl., 2013)

An ensemble active learning approach for spectral-spatial classification of hyperspectral images. - Zhou Zhang 001; Melba M. Crawford (IGARSS, 2015)

Semi-supervised multi-metric active learning for classification of hyperspectral images. - Zhou Zhang 001; Melba M. Crawford (IGARSS, 2016)

A regularized multi-metric active learning framework for hyperspectral image classification. - Zhou Zhang 001; Melba M. Crawford (WHISPERS, 2016)

Multimetric Active Learning for Classification of Remote Sensing Data. - Zhou Zhang 001; Edoardo Pasolli; Hsiuhan Lexie Yang; Melba M. Crawford (IEEE Geosci. Remote. Sens. Lett., 2016)

Automated Ortho-Rectification of UAV-Based Hyperspectral Data over an Agricultural Field Using Frame RGB Imagery. - Ayman Habib 001; Youkyung Han; Weifeng Xiong; Fangning He; Zhou Zhang 001; Melba M. Crawford (Remote. Sens., 2016)

An Active Learning Framework for Hyperspectral Image Classification Using Hierarchical Segmentation. - Zhou Zhang 001; Edoardo Pasolli; Melba M. Crawford; James C. Tilton (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016)

Prediction of sorghum biomass based on image based features derived from time series of UAV images. - Zhou Zhang 001; Ali Masjedi; Jieqiong Zhao; Melba M. Crawford (IGARSS, 2017)

A Batch-Mode Regularized Multimetric Active Learning Framework for Classification of Hyperspectral Images. - Zhou Zhang 001; Melba M. Crawford (IEEE Trans. Geosci. Remote. Sens., 2017)

Active Manifold Learning for Hyperspectral Image Classification. - Zhou Zhang 001; Gülsen Taskin Kaya; Melba M. Crawford (IGARSS, 2018)

Boresight Calibration of GNSS/INS-Assisted Push-Broom Hyperspectral Scanners on UAV Platforms. - Ayman Habib 001; Tian Zhou 001; Ali Masjedi; Zhou Zhang 001; John Evan Flatt; Melba M. Crawford (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018)

Ensemble-Based Cascaded Constrained Energy Minimization for Hyperspectral Target Detection. - Rui Zhao 019; Zhenwei Shi; Zhengxia Zou; Zhou Zhang 001 (Remote. Sens., 2019)

Alfalfa Yield Prediction Using UAV-Based Hyperspectral Imagery and Ensemble Learning. - Luwei Feng; Zhou Zhang 001; Yuchi Ma; Qingyun Du; Parker Williams; Jessica L. Drewry; Brian D. Luck (Remote. Sens., 2020)

Combining Multi-Source Data and Machine Learning Approaches to Predict Winter Wheat Yield in the Conterminous United States. - Yumiao Wang; Zhou Zhang 001; Luwei Feng; Qingyun Du; Troy Runge (Remote. Sens., 2020)

Do Game Data Generalize Well for Remote Sensing Image Segmentation? - Zhengxia Zou; Tianyang Shi; Wenyuan Li 002; Zhou Zhang 001; Zhenwei Shi (Remote. Sens., 2020)

Prediction of End-Of-Season Tuber Yield and Tuber Set in Potatoes Using In-Season UAV-Based Hyperspectral Imagery and Machine Learning. - Chen Sun; Luwei Feng; Zhou Zhang 001; Yuchi Ma; Trevor Crosby; Mack Naber; Yi Wang (Sensors, 2020)

An Adaptive Multiview Active Learning Approach for Spectral-Spatial Classification of Hyperspectral Images. - Zhou Zhang 001; Edoardo Pasolli; Melba M. Crawford (IEEE Trans. Geosci. Remote. Sens., 2020)

An adaptive adversarial domain adaptation approach for corn yield prediction. - Yuchi Ma; Zhou Zhang 001; Hsiuhan Lexie Yang; Zhengwei Yang (Comput. Electron. Agric., 2021)

A new attention-based CNN approach for crop mapping using time series Sentinel-2 images. - Yumiao Wang; Zhou Zhang 001; Luwei Feng; Yuchi Ma; Qingyun Du (Comput. Electron. Agric., 2021)

SA-JSTN: Self-Attention Joint Spatiotemporal Network for Temperature Forecasting. - Lukui Shi; Nanying Liang; Xia Xu; Tao Li 022; Zhou Zhang 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

Application of machine-learned metadata-driven model for dairy barn ventilation simulation. - Hanwook Chung; Xi Zhang; Seunghyeon Jung; Zhou Zhang 001; Christopher Y. Choi (Comput. Electron. Agric., 2022)

Corn Yield Prediction based on Remotely Sensed Variables Using Variational Autoencoder and Multiple Instance Regression. - Zeyu Cao; Yuchi Ma; Zhou Zhang 001 (CoRR, 2022)

Multitask Learning of Alfalfa Nutritive Value From UAV-Based Hyperspectral Images. - Luwei Feng; Zhou Zhang 001; Yuchi Ma; Yazhou Sun; Qingyun Du; Parker Williams; Jessica L. Drewry; Brian D. Luck (IEEE Geosci. Remote. Sens. Lett., 2022)

IntegrateNet: A Deep Learning Network for Maize Stand Counting From UAV Imagery by Integrating Density and Local Count Maps. - Wenxin Liu; Jing Zhou; Biwen Wang; Martin Costa; Shawn M. Kaeppler; Zhou Zhang 001 (IEEE Geosci. Remote. Sens. Lett., 2022)

A Bayesian Domain Adversarial Neural Network for Corn Yield Prediction. - Yuchi Ma; Zhou Zhang 001 (IEEE Geosci. Remote. Sens. Lett., 2022)

Improving Spatial Disaggregation of Crop Yield by Incorporating Machine Learning with Multisource Data: A Case Study of Chinese Maize Yield. - Shuo Chen; Weihang Liu; Puyu Feng; Tao Ye; Yuchi Ma; Zhou Zhang 001 (Remote. Sens., 2022)

Estimation of Maize Yield and Flowering Time Using Multi-Temporal UAV-Based Hyperspectral Data. - Jiahao Fan; Jing Zhou; Biwen Wang; Natalia de Leon; Shawn M. Kaeppler; Dayane C. Lima; Zhou Zhang 001 (Remote. Sens., 2022)

Toward Field Level Drought and Irrigation Monitoring Using Machine Learning Based High-Resolution Soil Moisture (ML-HRSM) Data. - Zhengwei Yang; Jingyi Huang; Zhou Zhang 001 (IGARSS, 2023)

Multisource Maximum Predictor Discrepancy for Unsupervised Domain Adaptation on Corn Yield Prediction. - Yuchi Ma; Zhengwei Yang; Zhou Zhang 001 (IEEE Trans. Geosci. Remote. Sens., 2023)

Per-pixel accuracy as a weighting criterion for combining ensemble of extreme learning machine classifiers for satellite image classification. - Hamid Ebrahimy; Zhou Zhang 001 (Int. J. Appl. Earth Obs. Geoinformation, 2023)

Instance segmentation method for weed detection using UAV imagery in soybean fields. - Beibei Xu; Jiahao Fan; Jun Chao; Nikola Arsenijevic; Rodrigo Werle; Zhou Zhang 001 (Comput. Electron. Agric., 2023)

Potato Leaf Area Index Estimation Using Multi-Sensor Unmanned Aerial Vehicle (UAV) Imagery and Machine Learning. - Tong Yu; Jing Zhou; Jiahao Fan; Yi Wang 107; Zhou Zhang 001 (Remote. Sens., 2023)

Improving the Transferability of Deep Learning Models for Crop Yield Prediction: A Partial Domain Adaptation Approach. - Yuchi Ma; Zhengwei Yang; Qunying Huang; Zhou Zhang 001 (Remote. Sens., 2023)

An improved fusion of Landsat-7/8, Sentinel-2, and Sentinel-1 data for monitoring alfalfa: Implications for crop remote sensing. - Jiang Chen; Zhou Zhang 001 (Int. J. Appl. Earth Obs. Geoinformation, 2023)

Mixed land use measurement and mapping with street view images and spatial context-aware prompts via zero-shot multimodal learning. - Meiliu Wu; Qunying Huang; Song Gao 001; Zhou Zhang 001 (Int. J. Appl. Earth Obs. Geoinformation, 2023)

BiAU-Net: Wildfire burnt area mapping using bi-temporal Sentinel-2 imagery and U-Net with attention mechanism. - Tang Sui; Qunying Huang; Mingda Wu; Meiliu Wu; Zhou Zhang 001 (Int. J. Appl. Earth Obs. Geoinformation, 2024)

Estimation of All-Sky High-Resolution Gross Primary Production Across Different Biome Types Using Active Microwave Satellite Images and Environmental Data. - Jiang Chen; Zhou Zhang 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

Spatial-Spectral Similarity Based on Adaptive Region for Landslide Inventory Mapping With Remote-Sensed Images. - Zhiyong Lv; Tianyv Yang; Tao Lei; Wenming Zhou; Zhou Zhang 001; Zhenzhen You (IEEE Trans. Geosci. Remote. Sens., 2024)

Bayesian Joint Adaptation Network for Crop Mapping in the Absence of Mapping Year Ground-Truth Samples. - Yijia Xu; Hamid Ebrahimy; Zhou Zhang 001 (IEEE Trans. Geosci. Remote. Sens., 2024)

Optimal Integration of Optical and SAR Data for Improving Alfalfa Yield and Quality Traits Prediction: New Insights into Satellite-Based Forage Crop Monitoring. - Jiang Chen; Tong Yu; Jerome H. Cherney; Zhou Zhang 001 (Remote. Sens., 2024)

Utilization of Synthetic Near-Infrared Spectra via Generative Adversarial Network to Improve Wood Stiffness Prediction. - Syed Danish Ali; Sameen Raut; Joseph Dahlen; Laurence Schimleck; Richard Bergman; Zhou Zhang 001; Vahid Nasir (Sensors, 2024)

Enhancing weed detection using UAV imagery and deep learning with weather-driven domain adaptation. - Beibei Xu; Rodrigo Werle; Guilherme Chudzik; Zhou Zhang 001 (Comput. Electron. Agric., 2025)