Lithological mapping of geological remote sensing via adversarial semi-supervised segmentation network

Author:

Wang ShengORCID,Huang Xiaohui,Han WeiORCID,Li Jun,Zhang Xiaohan,Wang Lizhe

Funder

Hubei Province Natural Science Foundation

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Computers in Earth Sciences,Earth-Surface Processes,Global and Planetary Change

Reference53 articles.

1. Semi-supervised semantic segmentation with pixel-level contrastive learning from a class-wise memory bank;Alonso,2021

2. Data–driven classification of landslide types at a national scale by using artificial neural networks;Amato;Int. J. Appl. Earth Obs. Geoinf.,2021

3. A review on spectral processing methods for geological remote sensing;Asadzadeh;Int. J. Appl. Earth Obs. Geoinf.,2016

4. Mixmatch: A holistic approach to semi-supervised learning;Berthelot;Adv. Neural Inf. Process. Syst.,2019

5. Geological remote sensing;Bishop;Int. J. Appl. Earth Obs. Geoinf.,2018

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