Zhou Zhang - RankMe

45 papers C 6Journal 38Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AMGAN: A multimodal generative adversarial network for near-daily alfalfa multispectral image reconstruction. Comput. Electron. Agric. Tong Yu, Jiang Chen, Jerome H. Cherney, Zhou Zhang
2026	J	`jnl`	An Efficient Additive Kolmogorov-Arnold Transformer for Point-Level Maize Localization in Unmanned Aerial Vehicle Imagery. CoRR Fei Li, Lang Qiao, Jiahao Fan, Yijia Xu, Shawn M. Kaeppler, Zhou Zhang
2025	J	`jnl`	Enhancing weed detection using UAV imagery and deep learning with weather-driven domain adaptation. Comput. Electron. Agric. Beibei Xu, Rodrigo Werle, Guilherme Chudzik, Zhou Zhang
2024	J	`jnl`	Bayesian Joint Adaptation Network for Crop Mapping in the Absence of Mapping Year Ground-Truth Samples. IEEE Trans. Geosci. Remote. Sens. Yijia Xu, Hamid Ebrahimy, Zhou Zhang
2024	J	`jnl`	BiAU-Net: Wildfire burnt area mapping using bi-temporal Sentinel-2 imagery and U-Net with attention mechanism. Int. J. Appl. Earth Obs. Geoinformation Tang Sui, Qunying Huang, Mingda Wu, Meiliu Wu, Zhou Zhang
2024	C	`conf`	County Level Crop Yield Prediction Using Smap Derived Data Products and Deep Learning Model. IGARSS Zhengwei Yang, Xiaoyu Wang, Jingyi Huang, Zhou Zhang
2024	J	`jnl`	Estimation of All-Sky High-Resolution Gross Primary Production Across Different Biome Types Using Active Microwave Satellite Images and Environmental Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Jiang Chen, Zhou Zhang
2024	J	`jnl`	Optimal Integration of Optical and SAR Data for Improving Alfalfa Yield and Quality Traits Prediction: New Insights into Satellite-Based Forage Crop Monitoring. Remote. Sens. Jiang Chen, Tong Yu, Jerome H. Cherney, Zhou Zhang
2024	J	`jnl`	Spatial-Spectral Similarity Based on Adaptive Region for Landslide Inventory Mapping With Remote-Sensed Images. IEEE Trans. Geosci. Remote. Sens. Zhiyong Lv, Tianyv Yang, Tao Lei, Wenming Zhou, Zhou Zhang, Zhenzhen You
2024	J	`jnl`	Utilization of Synthetic Near-Infrared Spectra via Generative Adversarial Network to Improve Wood Stiffness Prediction. Sensors Syed Danish Ali, Sameen Raut, Joseph Dahlen, Laurence Schimleck, Richard Bergman, Zhou Zhang, Vahid Nasir
2023	J	`jnl`	An improved fusion of Landsat-7/8, Sentinel-2, and Sentinel-1 data for monitoring alfalfa: Implications for crop remote sensing. Int. J. Appl. Earth Obs. Geoinformation Jiang Chen, Zhou Zhang
2023	J	`jnl`	Improving the Transferability of Deep Learning Models for Crop Yield Prediction: A Partial Domain Adaptation Approach. Remote. Sens. Yuchi Ma, Zhengwei Yang, Qunying Huang, Zhou Zhang
2023	J	`jnl`	Instance segmentation method for weed detection using UAV imagery in soybean fields. Comput. Electron. Agric. Beibei Xu, Jiahao Fan, Jun Chao, Nikola Arsenijevic, Rodrigo Werle, Zhou Zhang
2023	J	`jnl`	Mixed land use measurement and mapping with street view images and spatial context-aware prompts via zero-shot multimodal learning. Int. J. Appl. Earth Obs. Geoinformation Meiliu Wu, Qunying Huang, Song Gao, Zhou Zhang
2023	J	`jnl`	Multisource Maximum Predictor Discrepancy for Unsupervised Domain Adaptation on Corn Yield Prediction. IEEE Trans. Geosci. Remote. Sens. Yuchi Ma, Zhengwei Yang, Zhou Zhang
2023	J	`jnl`	Per-pixel accuracy as a weighting criterion for combining ensemble of extreme learning machine classifiers for satellite image classification. Int. J. Appl. Earth Obs. Geoinformation Hamid Ebrahimy, Zhou Zhang
2023	J	`jnl`	Potato Leaf Area Index Estimation Using Multi-Sensor Unmanned Aerial Vehicle (UAV) Imagery and Machine Learning. Remote. Sens. Tong Yu, Jing Zhou, Jiahao Fan, Yi Wang, Zhou Zhang
2023	C	`conf`	Toward Field Level Drought and Irrigation Monitoring Using Machine Learning Based High-Resolution Soil Moisture (ML-HRSM) Data. IGARSS Zhengwei Yang, Jingyi Huang, Zhou Zhang
2022	J	`jnl`	A Bayesian Domain Adversarial Neural Network for Corn Yield Prediction. IEEE Geosci. Remote. Sens. Lett. Yuchi Ma, Zhou Zhang
2022	J	`jnl`	Application of machine-learned metadata-driven model for dairy barn ventilation simulation. Comput. Electron. Agric. Hanwook Chung, Xi Zhang, Seunghyeon Jung, Zhou Zhang, Christopher Y. Choi
2022	J	`jnl`	Corn Yield Prediction based on Remotely Sensed Variables Using Variational Autoencoder and Multiple Instance Regression. CoRR Zeyu Cao, Yuchi Ma, Zhou Zhang
2022	J	`jnl`	Estimation of Maize Yield and Flowering Time Using Multi-Temporal UAV-Based Hyperspectral Data. Remote. Sens. Jiahao Fan, Jing Zhou, Biwen Wang, Natalia de Leon, Shawn M. Kaeppler, Dayane C. Lima, Zhou Zhang
2022	J	`jnl`	Improving Spatial Disaggregation of Crop Yield by Incorporating Machine Learning with Multisource Data: A Case Study of Chinese Maize Yield. Remote. Sens. Shuo Chen, Weihang Liu, Puyu Feng, Tao Ye, Yuchi Ma, Zhou Zhang
2022	J	`jnl`	IntegrateNet: A Deep Learning Network for Maize Stand Counting From UAV Imagery by Integrating Density and Local Count Maps. IEEE Geosci. Remote. Sens. Lett. Wenxin Liu, Jing Zhou, Biwen Wang, Martin Costa, Shawn M. Kaeppler, Zhou Zhang
2022	J	`jnl`	Multitask Learning of Alfalfa Nutritive Value From UAV-Based Hyperspectral Images. IEEE Geosci. Remote. Sens. Lett. Luwei Feng, Zhou Zhang, Yuchi Ma, Yazhou Sun, Qingyun Du, Parker Williams, Jessica L. Drewry, Brian D. Luck
2021	J	`jnl`	A new attention-based CNN approach for crop mapping using time series Sentinel-2 images. Comput. Electron. Agric. Yumiao Wang, Zhou Zhang, Luwei Feng, Yuchi Ma, Qingyun Du
2021	J	`jnl`	An adaptive adversarial domain adaptation approach for corn yield prediction. Comput. Electron. Agric. Yuchi Ma, Zhou Zhang, Hsiuhan Lexie Yang, Zhengwei Yang
2021	J	`jnl`	SA-JSTN: Self-Attention Joint Spatiotemporal Network for Temperature Forecasting. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Lukui Shi, Nanying Liang, Xia Xu, Tao Li, Zhou Zhang
2020	J	`jnl`	Alfalfa Yield Prediction Using UAV-Based Hyperspectral Imagery and Ensemble Learning. Remote. Sens. Luwei Feng, Zhou Zhang, Yuchi Ma, Qingyun Du, Parker Williams, Jessica L. Drewry, Brian D. Luck
2020	J	`jnl`	An Adaptive Multiview Active Learning Approach for Spectral-Spatial Classification of Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. Zhou Zhang, Edoardo Pasolli, Melba M. Crawford
2020	J	`jnl`	Combining Multi-Source Data and Machine Learning Approaches to Predict Winter Wheat Yield in the Conterminous United States. Remote. Sens. Yumiao Wang, Zhou Zhang, Luwei Feng, Qingyun Du, Troy Runge
2020	J	`jnl`	Do Game Data Generalize Well for Remote Sensing Image Segmentation? Remote. Sens. Zhengxia Zou, Tianyang Shi, Wenyuan Li, Zhou Zhang, Zhenwei Shi
2020	J	`jnl`	Prediction of End-Of-Season Tuber Yield and Tuber Set in Potatoes Using In-Season UAV-Based Hyperspectral Imagery and Machine Learning. Sensors Chen Sun, Luwei Feng, Zhou Zhang, Yuchi Ma, Trevor Crosby, Mack Naber, Yi Wang
2019	J	`jnl`	Ensemble-Based Cascaded Constrained Energy Minimization for Hyperspectral Target Detection. Remote. Sens. Rui Zhao, Zhenwei Shi, Zhengxia Zou, Zhou Zhang
2018	C	`conf`	Active Manifold Learning for Hyperspectral Image Classification. IGARSS Zhou Zhang, Gülsen Taskin Kaya, Melba M. Crawford
2018	J	`jnl`	Boresight Calibration of GNSS/INS-Assisted Push-Broom Hyperspectral Scanners on UAV Platforms. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Ayman Habib, Tian Zhou, Ali Masjedi, Zhou Zhang, John Evan Flatt, Melba M. Crawford
2017	J	`jnl`	A Batch-Mode Regularized Multimetric Active Learning Framework for Classification of Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. Zhou Zhang, Melba M. Crawford
2017	C	`conf`	Prediction of sorghum biomass based on image based features derived from time series of UAV images. IGARSS Zhou Zhang, Ali Masjedi, Jieqiong Zhao, Melba M. Crawford
2016	—	`conf`	A regularized multi-metric active learning framework for hyperspectral image classification. WHISPERS Zhou Zhang, Melba M. Crawford
2016	J	`jnl`	An Active Learning Framework for Hyperspectral Image Classification Using Hierarchical Segmentation. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Zhou Zhang, Edoardo Pasolli, Melba M. Crawford, James C. Tilton
2016	J	`jnl`	Automated Ortho-Rectification of UAV-Based Hyperspectral Data over an Agricultural Field Using Frame RGB Imagery. Remote. Sens. Ayman Habib, Youkyung Han, Weifeng Xiong, Fangning He, Zhou Zhang, Melba M. Crawford
2016	J	`jnl`	Multimetric Active Learning for Classification of Remote Sensing Data. IEEE Geosci. Remote. Sens. Lett. Zhou Zhang, Edoardo Pasolli, Hsiuhan Lexie Yang, Melba M. Crawford
2016	C	`conf`	Semi-supervised multi-metric active learning for classification of hyperspectral images. IGARSS Zhou Zhang, Melba M. Crawford
2015	C	`conf`	An ensemble active learning approach for spectral-spatial classification of hyperspectral images. IGARSS Zhou Zhang, Melba M. Crawford
2013	J	`jnl`	Nonnegative matrix factorization-based hyperspectral and panchromatic image fusion. Neural Comput. Appl. Zhou Zhang, Zhenwei Shi