Name
Affiliation
Papers
ZHENHONG DU
The Zhejiang Provincial Key Laboratory of Geographic Information Systems, Department of Earth Sciences, Zhejiang University, Hangzhou 310028, China
47
Collaborators
Citations 
PageRank 
123
31
16.98
Referers 
Referees 
References 
125
667
199
Search Limit
100667
Title
Citations
PageRank
Year
Single-Image Super-Resolution for Remote Sensing Images Using a Deep Generative Adversarial Network With Local and Global Attention Mechanisms00.342022
A deep learning crop model for adaptive yield estimation in large areas00.342022
A deep trajectory clustering method based on sequence-to-sequence autoencoder model00.342022
Hyperspectral Image Classification with a Multiscale Fusion-Evolution Graph Convolutional Network Based on a Feature-Spatial Attention Mechanism00.342022
A spatio-temporal graph-guided convolutional LSTM for tropical cyclones precipitation nowcasting00.342022
A neural network framework for fine-grained tropical cyclone intensity prediction00.342022
Machine Learning in Extreme Value Analysis, an Approach to Detecting Harmful Algal Blooms with Long-Term Multisource Satellite Data00.342022
Spatiotemporal assessments of nutrients and water quality in coastal areas using remote sensing and a spatiotemporal deep learning model00.342022
Improving Geographically Weighted Regression Considering Directional Nonstationary For Ground-Level Pm2.5 Estimation00.342021
Sea Surface Salinity Estimation And Spatial-Temporal Heterogeneity Analysis In The Gulf Of Mexico00.342021
Identifying Damaged Buildings in Aerial Images Using the Object Detection Method00.342021
Deep Understanding Of Urban Dynamics From Imprint Urban Toponymic Data Using A Spatial-Temporal-Semantic Analysis Approach00.342021
Rscnn: A Cnn-Based Method To Enhance Low-Light Remote-Sensing Images00.342021
Building Damage Detection Using U-Net With Attention Mechanism From Pre- And Post-Disaster Remote Sensing Datasets20.372021
Using Geographically Weighted Regression To Study The Seasonal Influence Of Potential Risk Factors On The Incidence Of Hfmd On The Chinese Mainland00.342021
Satellite-Based Mapping Of High-Resolution Ground-Level Pm2.5 With Viirs Ip Aod In China Through Spatially Neural Network Weighted Regression00.342021
Automated Characterization Of Yardangs Using Deep Convolutional Neural Networks00.342021
Geographically And Temporally Neural Network Weighted Regression For Modeling Spatiotemporal Non-Stationary Relationships00.342021
Multi-Task Collaboration Deep Learning Framework For Infrared Precipitation Estimation00.342021
Where Urban Youth Work and Live: A Data-Driven Approach to Identify Urban Functional Areas at a Fine Scale00.342020
Stme: An Effective Method For Discovering Spatiotemporal Multi-Type Clusters Containing Events With Different Densities00.342020
A Tile-Based Framework with a Spatial-Aware Feature for Easy Access and Efficient Analysis of Marine Remote Sensing Data.00.342020
GSAM: A deep neural network model for extracting computational representations of Chinese addresses fused with geospatial feature00.342020
EMMCNN: An ETPS-Based Multi-Scale and Multi-Feature Method Using CNN for High Spatial Resolution Image Land-Cover Classification.00.342020
Achieving Higher Resolution Lake Area from Remote Sensing Images Through an Unsupervised Deep Learning Super-Resolution Method.00.342020
An Unsupervised Urban Extent Extraction Method From Npp-Viirs Nighttime Light Data00.342020
Geographically Neural Network Weighted Regression For The Accurate Estimation Of Spatial Non-Stationarity00.342020
Remote Sensing Single-Image Resolution Improvement Using A Deep Gradient-Aware Network with Image-Specific Enhancement00.342020
A multi‐modal transportation data‐driven approach to identify urban functional zones: An exploration based on Hangzhou City, China10.352020
A tile service-driven architecture for online climate analysis with an application to estimation of ocean carbon flux00.342019
Spatial and temporal processes visualization for marine environmental data using particle system.00.342019
A matrix completion-based multiview learning method for imputing missing values in buoy monitoring data.20.362019
Vector Spatial Big Data Storage And Optimized Query Based On The Multi-Level Hilbert Grid Index In Hbase10.352018
Identifying Urban Functional Zones Using Public Bicycle Rental Records and Point-of-Interest Data.00.342018
DBSTC: an effective method for discovering cluster features with different spatiotemporal densities.10.372018
Multistep-ahead forecasting of chlorophyll a using a wavelet nonlinear autoregressive network.10.352018
A Spatiotemporal Regression-Kriging Model For Space-Time Interpolation: A Case Study Of Chlorophyll-A Prediction In The Coastal Areas Of Zhejiang, China00.342018
Extending geographically and temporally weighted regression to account for both spatiotemporal heterogeneity and seasonal variations in coastal seas.20.392018
Red tide time series forecasting by combining ARIMA and deep belief network.140.772017
Ecosystem health assessment in coastal waters by considering spatio-temporal variations with intense anthropogenic disturbance.10.432017
An Effective High-Performance Multiway Spatial Join Algorithm with Spark.30.642017
ParSymG: a parallel clustering approach for unsupervised classification of remotely sensed imagery.20.372017
Exploring Multi-Scale Spatiotemporal Twitter User Mobility Patterns with a Visual-Analytics Approach.00.342016
Real-Time Spatial Queries for Moving Objects Using Storm Topology.00.342016
Correction: Yin, J., et al. Exploring Multi-Scale Spatiotemporal Twitter User Mobility Patterns with a Visual-Analytics Approach. ISPRS International Journal of Geo-Information 2016, 5, 187.00.342016
Spatio-temporal visualization of air-sea CO2 flux and carbon budget using volume rendering.00.342015
An Object-Level Feature Representation Model for the Multi-target Retrieval of Remote Sensing Images.10.392014