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Xingming Liang
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2020 – today
- 2024
- [j13]Xingming Liang
, Lihang Zhou
Improving ATMS Imagery Visualization Using Limb Correction and AI Resolution Enhancement. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 4263-4279 (2024) - [c4]Xingming Liang, Quanhua Liu, Ninghai Sun, Hu Yang, Christopher Grassotti:
Optimizing Limb Correction and AI Methods for ATMS Imagery Visualization across Multiple Bands. IGARSS 2024: 7835-7838 - 2022
- [j12]Quanhua (Mark) Liu
Deriving Surface Reflectance From Visible/Near Infrared and Ultraviolet Satellite Observations Through the Community Radiative Transfer Model. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 2004-2011 (2022) - [j11]Quanhua (Mark) Liu
The Challenge of Surface Type Changes Over the Aral Sea for Satellite Remote Sensing of Precipitation. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 8650-8655 (2022) - [j10]Xingming Liang
A Deep-Learning-Based Microwave Radiative Transfer Emulator for Data Assimilation and Remote Sensing. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 8819-8833 (2022) - 2021
- [j9]Xingming Liang
Applying Deep Learning to Clear-Sky Radiance Simulation for VIIRS with Community Radiative Transfer Model - Part 1: Develop AI-Based Clear-Sky Mask. Remote. Sens. 13(2): 222 (2021) - [j8]Xingming Liang
Erratum: Liang, X., et al. Applying Deep Learning to Clear-Sky Radiance Simulation for VIIRS with Community Radiative Transfer Model - Part 2: Model Architecture and Assessment. Remote Sens. 2020 12, 3825. Remote. Sens. 13(3): 467 (2021) - [j7]Quanhua (Mark) Liu, Changyong Cao
Experimental OMPS Radiance Assimilation through One-Dimensional Variational Analysis for Total Column Ozone in the Atmosphere. Remote. Sens. 13(17): 3418 (2021) - [j6]Yong-Keun Lee
Preliminary Development and Testing of an EPS-SG Microwave Sounder Proxy Data Generator Using the NOAA Microwave Integrated Retrieval System. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 3151-3161 (2021) - [c3]Xingming Liang, Quanhua (Mark) Liu:
Preliminary Report on Deep Learning-based Daytime Clear-Sky Radiance for VIIRS. IGARSS 2021: 1153-1156 - 2020
- [j5]Xingming Liang
A Deep Learning Trained Clear-Sky Mask Algorithm for VIIRS Radiometric Bias Assessment. Remote. Sens. 12(1): 78 (2020) - [j4]Xingming Liang
Applying Deep Learning to Clear-Sky Radiance Simulation for VIIRS with Community Radiative Transfer Model - Part 2: Model Architecture and Assessment. Remote. Sens. 12(22): 3825 (2020)
2010 – 2019
- 2019
- [j3]Wenhui Wang
Improving the Calibration of Suomi NPP VIIRS Thermal Emissive Bands During Blackbody Warm-Up/Cool-Down. IEEE Trans. Geosci. Remote. Sens. 57(4): 1977-1994 (2019) - 2017
- [c2]Xingming Liang, Ninghai Sun, Alexander Ignatov, Quanhua (Mark) Liu, Wenhui Wang, Bin Zhang
Monitoring of VIIRS ocean clear-sky brightness temperatures against CRTM simulation in ICVS for TEB/M bands. Earth Observing Systems 2017: 104021S - 2016
- [j2]Xingming Liang
Preliminary Inter-Comparison between AHI, VIIRS and MODIS Clear-Sky Ocean Radiances for Accurate SST Retrievals. Remote. Sens. 8(3): 203 (2016) - [j1]Alexander Ignatov, Xinjia Zhou, Boris Z. Petrenko, Xingming Liang
AVHRR GAC SST Reanalysis Version 1 (RAN1). Remote. Sens. 8(4): 315 (2016)
2000 – 2009
- 2006
- [c1]Kohei Arai, XingMing Liang:
Vicarious Calibration of ASTER/VNIR with Ground Based Measurements of Refractive Index and Size Distribution of Aerosol. IGARSS 2006: 596-599
Coauthor Index
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