Zhenhong Du
Orcid: 0000-0001-9449-0415
According to our database1,
Zhenhong Du
authored at least 73 papers
between 2014 and 2024.
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Collaborative distances:
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Bibliography
2024
Using PySpark to accelerate batch data point rotation for paleogeographic reconstruction.
Int. J. Digit. Earth, December, 2024
A neural network model to optimize the measure of spatial proximity in geographically weighted regression approach: a case study on house price in Wuhan.
Int. J. Geogr. Inf. Sci., July, 2024
GSA-SiamNet: A Siamese Network with Gradient-Based Spatial Attention for Pan-Sharpening of Multi-Spectral Images.
Remote. Sens., February, 2024
A Downscaling Framework for Urban Nighttime Light Based on Multifactor Geographically Neural Network Weighted Regression.
IEEE Trans. Geosci. Remote. Sens., 2024
Causality-Guided Stepwise Intervention and Reweighting for Remote Sensing Image Semantic Segmentation.
IEEE Trans. Geosci. Remote. Sens., 2024
Single Remote Sensing Image Super-Resolution via a Generative Adversarial Network With Stratified Dense Sampling and Chain Training.
IEEE Trans. Geosci. Remote. Sens., 2024
A Conditional Diffusion Model With Fast Sampling Strategy for Remote Sensing Image Super-Resolution.
IEEE Trans. Geosci. Remote. Sens., 2024
Aggregative and Contrastive Dual-View Graph Attention Network for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2024
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024
ShapefileGPT: A Multi-Agent Large Language Model Framework for Automated Shapefile Processing.
CoRR, 2024
ControlCity: A Multimodal Diffusion Model Based Approach for Accurate Geospatial Data Generation and Urban Morphology Analysis.
CoRR, 2024
CoRR, 2024
Mitigating Interpretation Bias in Rock Records with Large Language Models: Insights from Paleoenvironmental Analysis.
CoRR, 2024
LOGCAN++: Local-global class-aware network for semantic segmentation of remote sensing images.
CoRR, 2024
Enhancing mineral prospectivity mapping with geospatial artificial intelligence: A geographically neural network-weighted logistic regression approach.
Int. J. Appl. Earth Obs. Geoinformation, 2024
Spatiotemporal weighted neural network reveals surface seawater pCO2 distributions and underlying environmental mechanisms in the North Pacific Ocean.
Int. J. Appl. Earth Obs. Geoinformation, 2024
2023
High-Resolution Daily Spatiotemporal Distribution and Evaluation of Ground-Level Nitrogen Dioxide Concentration in the Beijing-Tianjin-Hebei Region Based on TROPOMI Data.
Remote. Sens., August, 2023
Remote. Sens., July, 2023
A High-Resolution Land Surface Temperature Downscaling Method Based on Geographically Weighted Neural Network Regression.
Remote. Sens., April, 2023
2022
IEEE Trans. Intell. Transp. Syst., 2022
Single-Image Super-Resolution for Remote Sensing Images Using a Deep Generative Adversarial Network With Local and Global Attention Mechanisms.
IEEE Trans. Geosci. Remote. Sens., 2022
Trans. GIS, 2022
Machine Learning in Extreme Value Analysis, an Approach to Detecting Harmful Algal Blooms with Long-Term Multisource Satellite Data.
Remote. Sens., 2022
Hyperspectral Image Classification with a Multiscale Fusion-Evolution Graph Convolutional Network Based on a Feature-Spatial Attention Mechanism.
Remote. Sens., 2022
A neural network with spatiotemporal encoding module for tropical cyclone intensity estimation from infrared satellite image.
Knowl. Based Syst., 2022
Knowl. Based Syst., 2022
House Price Valuation Model Based on Geographically Neural Network Weighted Regression: The Case Study of Shenzhen, China.
ISPRS Int. J. Geo Inf., 2022
Geographically convolutional neural network weighted regression: a method for modeling spatially non-stationary relationships based on a global spatial proximity grid.
Int. J. Geogr. Inf. Sci., 2022
A spatio-temporal graph-guided convolutional LSTM for tropical cyclones precipitation nowcasting.
Appl. Soft Comput., 2022
Int. J. Appl. Earth Obs. Geoinformation, 2022
Spatiotemporal assessments of nutrients and water quality in coastal areas using remote sensing and a spatiotemporal deep learning model.
Int. J. Appl. Earth Obs. Geoinformation, 2022
2021
Multi-Task Collaboration Deep Learning Framework for Infrared Precipitation Estimation.
Remote. Sens., 2021
Building Damage Detection Using U-Net with Attention Mechanism from Pre- and Post-Disaster Remote Sensing Datasets.
Remote. Sens., 2021
Remote. Sens., 2021
Remote. Sens., 2021
Remote. Sens., 2021
Sea Surface Salinity Estimation and Spatial-Temporal Heterogeneity Analysis in the Gulf of Mexico.
Remote. Sens., 2021
Satellite-Based Mapping of High-Resolution Ground-Level PM2.5 with VIIRS IP AOD in China through Spatially Neural Network Weighted Regression.
Remote. Sens., 2021
Improving Geographically Weighted Regression Considering Directional Nonstationary for Ground-Level PM2.5 Estimation.
ISPRS Int. J. Geo Inf., 2021
Using Geographically Weighted Regression to Study the Seasonal Influence of Potential Risk Factors on the Incidence of HFMD on the Chinese Mainland.
ISPRS Int. J. Geo Inf., 2021
Deep Understanding of Urban Dynamics from Imprint Urban Toponymic Data Using a Spatial-Temporal-Semantic Analysis Approach.
ISPRS Int. J. Geo Inf., 2021
Geographically and temporally neural network weighted regression for modeling spatiotemporal non-stationary relationships.
Int. J. Geogr. Inf. Sci., 2021
CoRR, 2021
Simulating City Expansion Using a CA Urban Growth Model, Through a Case Study of Nairobi, Kenya.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
2020
GSAM: A deep neural network model for extracting computational representations of Chinese addresses fused with geospatial feature.
Comput. Environ. Urban Syst., 2020
STME: An effective method for discovering spatiotemporal multi-type clusters containing events with different densities.
Trans. GIS, 2020
A multi-modal transportation data-driven approach to identify urban functional zones: An exploration based on Hangzhou City, China.
Trans. GIS, 2020
EMMCNN: An ETPS-Based Multi-Scale and Multi-Feature Method Using CNN for High Spatial Resolution Image Land-Cover Classification.
Remote. Sens., 2020
A Tile-Based Framework with a Spatial-Aware Feature for Easy Access and Efficient Analysis of Marine Remote Sensing Data.
Remote. Sens., 2020
Remote Sensing Single-Image Resolution Improvement Using A Deep Gradient-Aware Network with Image-Specific Enhancement.
Remote. Sens., 2020
Achieving Higher Resolution Lake Area from Remote Sensing Images Through an Unsupervised Deep Learning Super-Resolution Method.
Remote. Sens., 2020
Remote. Sens., 2020
Where Urban Youth Work and Live: A Data-Driven Approach to Identify Urban Functional Areas at a Fine Scale.
ISPRS Int. J. Geo Inf., 2020
Geographically neural network weighted regression for the accurate estimation of spatial non-stationarity.
Int. J. Geogr. Inf. Sci., 2020
2019
A matrix completion-based multiview learning method for imputing missing values in buoy monitoring data.
Inf. Sci., 2019
Spatial and temporal processes visualization for marine environmental data using particle system.
Comput. Geosci., 2019
A tile service-driven architecture for online climate analysis with an application to estimation of ocean carbon flux.
Environ. Model. Softw., 2019
2018
Multistep-ahead forecasting of chlorophyll <i>a</i> using a wavelet nonlinear autoregressive network.
Knowl. Based Syst., 2018
Vector Spatial Big Data Storage and Optimized Query Based on the Multi-Level Hilbert Grid Index in HBase.
Inf., 2018
Identifying Urban Functional Zones Using Public Bicycle Rental Records and Point-of-Interest Data.
ISPRS Int. J. Geo Inf., 2018
A spatiotemporal regression-kriging model for space-time interpolation: a case study of chlorophyll-a prediction in the coastal areas of Zhejiang, China.
Int. J. Geogr. Inf. Sci., 2018
Extending geographically and temporally weighted regression to account for both spatiotemporal heterogeneity and seasonal variations in coastal seas.
Ecol. Informatics, 2018
DBSTC: an effective method for discovering cluster features with different spatiotemporal densities.
Int. J. Digit. Earth, 2018
2017
Knowl. Based Syst., 2017
ISPRS Int. J. Geo Inf., 2017
Ecosystem health assessment in coastal waters by considering spatio-temporal variations with intense anthropogenic disturbance.
Environ. Model. Softw., 2017
ParSymG: a parallel clustering approach for unsupervised classification of remotely sensed imagery.
Int. J. Digit. Earth, 2017
2016
ISPRS Int. J. Geo Inf., 2016
Correction: Yin, J., et al. Exploring Multi-Scale Spatiotemporal Twitter User Mobility Patterns with a Visual-Analytics Approach. <i>ISPRS International Journal of Geo-Information</i> 2016, <i>5</i>, 187.
ISPRS Int. J. Geo Inf., 2016
Exploring Multi-Scale Spatiotemporal Twitter User Mobility Patterns with a Visual-Analytics Approach.
ISPRS Int. J. Geo Inf., 2016
2015
Spatio-temporal visualization of air-sea CO<sub>2</sub> flux and carbon budget using volume rendering.
Comput. Geosci., 2015
2014
An Object-Level Feature Representation Model for the Multi-target Retrieval of Remote Sensing Images.
J. Comput. Sci. Eng., 2014