Shengjie Liu

Orcid: 0000-0003-0253-7410

Affiliations:
  • 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:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

On csauthors.net:

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
Estimating PM2.5 and PM10 on Zhuhai-1 Hyperspectral Imagery.
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


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