Zhice Fang
Orcid: 0000-0003-4414-8712
According to our database1,
Zhice Fang
authored at least 14 papers
between 2020 and 2024.
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Bibliography
2024
Interferometric Synthetic Aperture Radar (InSAR)-Based Absence Sampling for Machine-Learning-Based Landslide Susceptibility Mapping: The Three Gorges Reservoir Area, China.
Remote. Sens., July, 2024
Landslide hazard spatiotemporal prediction based on data-driven models: Estimating where, when and how large landslide may be.
Int. J. Appl. Earth Obs. Geoinformation, February, 2024
Unsupervised Landslide Detection From Multitemporal High-Resolution Images Based on Progressive Label Upgradation and Cross-Temporal Style Adaption.
IEEE Trans. Geosci. Remote. Sens., 2024
Hyperspectral Image Classification Based on Multibranch Adaptive Feature Fusion Network.
IEEE Trans. Geosci. Remote. Sens., 2024
An Integrated Framework of Positive-Unlabeled and Imbalanced Learning for Landslide Susceptibility Mapping.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024
2023
Speech-recognition in landslide predictive modelling: A case for a next generation early warning system.
Environ. Model. Softw., December, 2023
Multi-Temporal Analysis of Environmental Carrying Capacity and Coastline Changes in Yueqing City.
Remote. Sens., November, 2023
2021
Landslide Susceptibility Prediction Based on Positive Unlabeled Learning Coupled With Adaptive Sampling.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021
Landslide Susceptibility Mapping Using Rotation Forest Ensemble Technique with Different Decision Trees in the Three Gorges Reservoir Area, China.
Remote. Sens., 2021
A comparative study of heterogeneous ensemble-learning techniques for landslide susceptibility mapping.
Int. J. Geogr. Inf. Sci., 2021
2020
Potential of Ensemble Learning to Improve Tree-Based Classifiers for Landslide Susceptibility Mapping.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020
Multiple Kernel-Based SVM Classification of Hyperspectral Images by Combining Spectral, Spatial, and Semantic Information.
Remote. Sens., 2020
Comparative study of landslide susceptibility mapping with different recurrent neural networks.
Comput. Geosci., 2020
Integration of convolutional neural network and conventional machine learning classifiers for landslide susceptibility mapping.
Comput. Geosci., 2020