Bolin Fu
Orcid: 0000-0002-3469-1861
According to our database1,
Bolin Fu
authored at least 27 papers
between 2016 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
Retrieval performance of mangrove tree heights using multiple machine learning regression models and UAV-LiDAR point clouds.
Int. J. Digit. Earth, December, 2024
Estimation of Coastal Wetland Vegetation Aboveground Biomass by Integrating UAV and Satellite Remote Sensing Data.
Remote. Sens., August, 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
Estimation and trend analysis of carbon emissions from forest fires in mainland China from 2011 to 2021.
Ecol. Informatics, 2024
Comparison of leaf chlorophyll content retrieval performance of citrus using FOD and CWT methods with field-based full-spectrum hyperspectral reflectance data.
Comput. Electron. Agric., 2024
The phenology and water level time-series mangrove index for improved mangrove monitoring.
Int. J. Appl. Earth Obs. Geoinformation, 2024
Estimation of daytime all-sky sea surface temperature from Himawari-8 based on multilayer stacking machine learning.
Int. J. Appl. Earth Obs. Geoinformation, 2024
Exploring the effects of different combination ratios of multi-source remote sensing images on mangrove communities classification.
Int. J. Appl. Earth Obs. Geoinformation, 2024
Synergistic retrieval of mangrove vital functional traits using field hyperspectral and satellite data.
Int. J. Appl. Earth Obs. Geoinformation, 2024
2023
Combination of super-resolution reconstruction and SGA-Net for marsh vegetation mapping using multi-resolution multispectral and hyperspectral images.
Int. J. Digit. Earth, December, 2023
Comparison of 2D and 3D vegetation species mapping in three natural scenarios using UAV-LiDAR point clouds and improved deep learning methods.
Int. J. Appl. Earth Obs. Geoinformation, December, 2023
Effects of Multi-Growth Periods UAV Images on Classifying Karst Wetland Vegetation Communities Using Object-Based Optimization Stacking Algorithm.
Remote. Sens., August, 2023
Quantifying scattering characteristics of mangrove species from Optuna-based optimal machine learning classification using multi-scale feature selection and SAR image time series.
Int. J. Appl. Earth Obs. Geoinformation, August, 2023
An Automatic Hierarchical Clustering Method for the LiDAR Point Cloud Segmentation of Buildings via Shape Classification and Outliers Reassignment.
Remote. Sens., May, 2023
Recognition of thaw slumps based on machine learning and UAVs: A case study in the Qilian Mountains, northeastern Qinghai-Tibet Plateau.
Int. J. Appl. Earth Obs. Geoinformation, February, 2023
Reconstruction of LoD-2 Building Models Guided by Façade Structures from Oblique Photogrammetric Point Cloud.
Remote. Sens., January, 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
Evaluation of Decision Fusions for Classifying Karst Wetland Vegetation Using One-Class and Multi-Class CNN Models with High-Resolution UAV Images.
Remote. Sens., 2022
Comparison of RFE-DL and stacking ensemble learning algorithms for classifying mangrove species on UAV multispectral images.
Int. J. Appl. Earth Obs. Geoinformation, 2022
2021
An Effective Method for Canopy Chlorophyll Content Estimation of Marsh Vegetation Based on Multiscale Remote Sensing Data.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021
A Comprehensive Evaluation of Key Tropospheric Parameters from ERA5 and MERRA-2 Reanalysis Products Using Radiosonde Data and GNSS Measurements.
Remote. Sens., 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
Comparison of optimized object-based RF-DT algorithm and SegNet algorithm for classifying Karst wetland vegetation communities using ultra-high spatial resolution UAV data.
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
2016
Gully Erosion Mapping and Monitoring at Multiple Scales Based on Multi-Source Remote Sensing Data of the Sancha River Catchment, Northeast China.
ISPRS Int. J. Geo Inf., 2016