Shengjie Liu
Orcid: 0000-0003-0253-7410Affiliations:
- University of Southern California, Spatial Sciences Institute, Los Angeles, CA, USA
- University of Hong Kong, Department of Physics, Pokfulam, Hong Kong (former)
- Sun Yat-sen University, Key Laboratory of Urbanization and Geo-simulation, Guangzhou, China (former)
According to our database1,
Shengjie Liu
authored at least 16 papers
between 2018 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
Daily Land Surface Temperature Reconstruction in Landsat Cross-Track Areas Using Deep Ensemble Learning With Uncertainty Quantification.
CoRR, February, 2025
2024
Deep Feature Gaussian Processes for Single-Scene Aerosol Optical Depth Reconstruction.
IEEE Geosci. Remote. Sens. Lett., 2024
Fine-Scale Mapping of Particulate Matter Using Landsat Imagery and Low-Cost Sensor Data from Purpleair: A Case Study of Los Angeles.
Proceedings of the IGARSS 2024, 2024
Using Time-Series Satellite Imagery to Detect Artificial Light At Night: the Case of Luojia-1 and International Space Station.
Proceedings of the IGARSS 2024, 2024
2023
Using High-Resolution Nighttime Remote Sensing Data to Identify Light Sources in Hong Kong.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
Using Multi-Source Data to Capture the Impacts of Earth Hour 2021: A Case Study of Hong Kong.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
2022
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022
2021
Few-Shot Hyperspectral Image Classification With Unknown Classes Using Multitask Deep Learning.
IEEE Trans. Geosci. Remote. Sens., 2021
Crop Mapping Using Sentinel Full-Year Dual-Polarized SAR Data and a CPU-Optimized Convolutional Neural Network With Two Sampling Strategies.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021
Active Ensemble Deep Learning for Polarimetric Synthetic Aperture Radar Image Classification.
IEEE Geosci. Remote. Sens. Lett., 2021
Analyzing Long-Term Artificial Light at Night Using Viirs Monthly Product with Land Use Data: Preliminary Result of Hong Kong.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
Multi-Label Local Climate Zone Mapping as Scene Classification Using Very High Resolution Imagery: Preliminary Result of Hong Kong.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
2020
Multitask Deep Learning With Spectral Knowledge for Hyperspectral Image Classification.
IEEE Geosci. Remote. Sens. Lett., 2020
2019
Integration of Convolutional Neural Networks and Object-Based Post-Classification Refinement for Land Use and Land Cover Mapping with Optical and SAR Data.
Remote. Sens., 2019
Multitask deep learning with spectral knowledge for hyperspectral image classification.
CoRR, 2019
2018
Wide Contextual Residual Network with Active Learning for Remote Sensing Image Classification.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018