Shaojia Ge

Orcid: 0000-0002-9655-1207

According to our database1, Shaojia Ge authored at least 11 papers between 2017 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2023
Deep Learning Model Transfer in Forest Mapping Using Multi-Source Satellite SAR and Optical Images.
Remote. Sens., November, 2023

Sentinel-1 Time Series for Predicting Growing Stock Volume of Boreal Forest: Multitemporal Analysis and Feature Selection.
Remote. Sens., July, 2023

A Novel Semisupervised Contrastive Regression Framework for Forest Inventory Mapping With Multisensor Satellite Data.
IEEE Geosci. Remote. Sens. Lett., 2023

Semi-Supervised Deep Learning Representations in Earth Observation Based Forest Management.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022
Improved Semisupervised UNet Deep Learning Model for Forest Height Mapping With Satellite SAR and Optical Data.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

Improved LSTM Model for Boreal Forest Height Mapping Using Sentinel-1 Time Series.
Remote. Sens., 2022

Deep Learning Models in Forest Mapping Using Multitemporal SAR and Optical Satellite Data.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

2020
Sentinel-1 InSAR Coherence for Land Cover Mapping: A Comparison of Multiple Feature-Based Classifiers.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020

Predicting Growing Stock Volume of Boreal Forests Using Very Long Time Series of Sentinel-1 Data.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

2019
Deep Recurrent Neural Networks for Land-Cover Classification Using Sentinel-1 INSAR Time Series.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

2017
Polarimetrie SAR image classification based on deep belief network and superpixel segmentation.
Proceedings of the 3rd International Conference on Frontiers of Signal Processing, 2017


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