Renguang Zuo
Orcid: 0000-0002-5639-3128
According to our database1,
Renguang Zuo
authored at least 23 papers
between 2009 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
A physically constrained hybrid deep learning model to mine a geochemical data cube in support of mineral exploration.
Comput. Geosci., January, 2024
An Evaluation of Convolutional Neural Networks for Lithological Mapping Based on Hyperspectral Images.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024
Fusion of GaoFen-5 and Sentinel-2B data for lithological mapping using vision transformer dynamic graph convolutional network.
Int. J. Appl. Earth Obs. Geoinformation, 2024
2023
Geological Mapping via Convolutional Neural Network Based on Remote Sensing and Geochemical Survey Data in Vegetation Coverage Areas.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023
2022
Construction Land Information Extraction and Expansion Analysis of Xiaogan City Using One-Class Support Vector Machine.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022
A geologically-constrained deep learning algorithm for recognizing geochemical anomalies.
Comput. Geosci., 2022
Mineral prospectivity mapping using a joint singularity-based weighting method and long short-term memory network.
Comput. Geosci., 2022
2021
Lithological Mapping Based on Fully Convolutional Network and Multi-Source Geological Data.
Remote. Sens., 2021
Analysis of Temporal and Spatial Characteristics of Urban Expansion in Xiaonan District from 1990 to 2020 Using Time Series Landsat Imagery.
Remote. Sens., 2021
Comput. Geosci., 2021
Spatial modelling of hydrothermal mineralization-related geochemical patterns using INLA+SPDE and local singularity analysis.
Comput. Geosci., 2021
2020
Mapping of Himalaya Leucogranites Based on ASTER and Sentinel-2A Datasets Using a Hybrid Method of Metric Learning and Random Forest.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020
Recognizing multivariate geochemical anomalies for mineral exploration by combining deep learning and one-class support vector machine.
Comput. Geosci., 2020
Mapping Himalayan leucogranites using a hybrid method of metric learning and support vector machine.
Comput. Geosci., 2020
2019
Decomposing the Long-term Variation in Population Exposure to Outdoor PM2.5 in the Greater Bay Area of China Using Satellite Observations.
Remote. Sens., 2019
Comput. Geosci., 2019
2018
Comput. Geosci., 2018
Identification of geochemical anomalies through combined sequential Gaussian simulation and grid-based local singularity analysis.
Comput. Geosci., 2018
2016
Comput. Geosci., 2016
2015
A MATLAB-based program for processing geochemical data using fractal/multifractal modeling.
Earth Sci. Informatics, 2015
2011
Comput. Geosci., 2011
Mapping complexity of spatial distribution of faults using fractal and multifractal models: vectoring towards exploration targets.
Comput. Geosci., 2011
2009
Int. J. Appl. Earth Obs. Geoinformation, 2009