Hu Ding
Orcid: 0000-0002-5695-5485Affiliations:
- South China Normal University, Guangzhou, China
According to our database1,
Hu Ding
authored at least 13 papers
between 2016 and 2023.
Collaborative distances:
Collaborative distances:
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Bibliography
2023
Height estimation from single aerial imagery using contrastive learning based multi-scale refinement network.
Int. J. Digit. Earth, December, 2023
2022
Evaluation of Mangrove Wetlands Protection Patterns in the Guangdong-Hong Kong-Macao Greater Bay Area Using Time-Series Landsat Imageries.
Remote. Sens., December, 2022
Fine-Scale Improved Carbon Bookkeeping Model Using Landsat Time Series for Subtropical Forest, Southern China.
Remote. Sens., 2022
Large-Scale Detection of the Tableland Areas and Erosion-Vulnerable Hotspots on the Chinese Loess Plateau.
Remote. Sens., 2022
Rotation-Aware Building Instance Segmentation From High-Resolution Remote Sensing Images.
IEEE Geosci. Remote. Sens. Lett., 2022
2021
Object-based large-scale terrain classification combined with segmentation optimization and terrain features: A case study in China.
Trans. GIS, 2021
Evaluation of Three Different Machine Learning Methods for Object-Based Artificial Terrace Mapping - A Case Study of the Loess Plateau, China.
Remote. Sens., 2021
Cellular Automata Based Land-Use Change Simulation Considering Spatio-Temporal Influence Heterogeneity of Light Rail Transit Construction: A Case in Nanjing, China.
ISPRS Int. J. Geo Inf., 2021
OBIA-Based Extraction of Artificial Terrace Damages in the Loess Plateau of China from UAV Photogrammetry.
ISPRS Int. J. Geo Inf., 2021
2020
UAV-Based Terrain Modeling under Vegetation in the Chinese Loess Plateau: A Deep Learning and Terrain Correction Ensemble Framework.
Remote. Sens., 2020
Optimized Segmentation Based on the Weighted Aggregation Method for Loess Bank Gully Mapping.
Remote. Sens., 2020
2017
Extraction of Terraces on the Loess Plateau from High-Resolution DEMs and Imagery Utilizing Object-Based Image Analysis.
ISPRS Int. J. Geo Inf., 2017
2016
Detection of Catchment-Scale Gully-Affected Areas Using Unmanned Aerial Vehicle (UAV) on the Chinese Loess Plateau.
ISPRS Int. J. Geo Inf., 2016