Ertao Gao
Orcid: 0009-0001-1683-3643
According to our database1,
Ertao Gao
authored at least 13 papers
between 2020 and 2024.
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Bibliography
2024
Mangrove species classification using novel adaptive ensemble learning with multi-spatial-resolution multispectral and full-polarization SAR images.
Int. J. Digit. Earth, December, 2024
Weighted Differential Gradient Method for Filling Pits in Light Detection and Ranging (LiDAR) Canopy Height Model.
Remote. Sens., April, 2024
Autonomous Data Association and Intelligent Information Discovery Based on Multimodal Fusion Technology.
Symmetry, 2024
Spatio-Temporal Evolution Monitoring and Analysis of Tidal Flats in Beibu Gulf From 1987 to 2021 Using Multisource Remote Sensing.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024
Improving Accuracy of Ocean-Land Classification by using Laser Pulse Continuity of Airborne Lidar Bathymetry.
Proceedings of the IGARSS 2024, 2024
A Novel Water-Land Discriminator Based on Near Water Surface Penetration of Green Laser.
Proceedings of the IGARSS 2024, 2024
2023
Spatio-Temporal Changes of Mangrove-Covered Tidal Flats over 35 Years Using Satellite Remote Sensing Imageries: A Case Study of Beibu Gulf, China.
Remote. Sens., April, 2023
IEEE Trans. Geosci. Remote. Sens., 2023
Analysis of Coastal Deformation Detection and Causes in Beibu Gulf of Guangxi Based on PS-InSAR.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
2022
Combination of Hyperspectral and Quad-Polarization SAR Images to Classify Marsh Vegetation Using Stacking Ensemble Learning Algorithm.
Remote. Sens., 2022
Comparison of Different Transfer Learning Methods for Classification of Mangrove Communities Using MCCUNet and UAV Multispectral Images.
Remote. Sens., 2022
2021
Study on transfer learning ability for classifying marsh vegetation with multi-sensor images using DeepLabV3+ and HRNet deep learning algorithms.
Int. J. Appl. Earth Obs. Geoinformation, 2021
2020
An Optimized Object-Based Random Forest Algorithm for Marsh Vegetation Mapping Using High-Spatial-Resolution GF-1 and ZY-3 Data.
Remote. Sens., 2020