Sensen Wu
Orcid: 0000-0001-9322-0149
According to our database1,
Sensen Wu
authored at least 23 papers
between 2018 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
An LLM-Based Inventory Construction Framework of Urban Ground Collapse Events with Spatiotemporal Locations.
ISPRS Int. J. Geo Inf., April, 2024
GSA-SiamNet: A Siamese Network with Gradient-Based Spatial Attention for Pan-Sharpening of Multi-Spectral Images.
Remote. Sens., February, 2024
Quantitative Study on American COVID-19 Epidemic Predictions and Scenario Simulations.
ISPRS Int. J. Geo Inf., January, 2024
Comput. Environ. Urban Syst., 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
DOCNet: Dual-Domain Optimized Class-Aware Network for Remote Sensing Image Segmentation.
IEEE Geosci. Remote. Sens. Lett., 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
Trans. GIS, 2022
Effects of Climate Change on Corn Yields: Spatiotemporal Evidence from Geographically and Temporally Weighted Regression Model.
ISPRS Int. J. Geo Inf., 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
House Price Valuation Model Based on Geographically Neural Network Weighted Regression: The Case Study of Shenzhen, China.
CoRR, 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
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
A GloVe-Based POI Type Embedding Model for Extracting and Identifying Urban Functional Regions.
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
Geographically and temporally neural network weighted regression for modeling spatiotemporal non-stationary relationships.
Int. J. Geogr. Inf. Sci., 2021
2020
Geographically neural network weighted regression for the accurate estimation of spatial non-stationarity.
Int. J. Geogr. Inf. Sci., 2020
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