Luoma Wan
Orcid: 0000-0002-8202-510X
According to our database1,
Luoma Wan
authored at least 14 papers
between 2018 and 2025.
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Bibliography
2025
IEEE Trans. Geosci. Remote. Sens., 2025
Human-Annotated Label Noise and Their Impact on ConvNets for Remote Sensing Image Scene Classification.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025
2023
Human labeling errors and their impact on ConvNets for satellite image scene classification.
CoRR, 2023
2021
Impacts of Satellite Revisit Frequency on Spring Phenology Monitoring of Deciduous Broad-Leaved Forests Based on Vegetation Index Time Series.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021
Early Monitoring of Exotic Mangrove Sonneratia in Hong Kong Using Deep Convolutional Network at Half-Meter Resolution.
IEEE Geosci. Remote. Sens. Lett., 2021
Developing a grid-based association rules mining approach to quantify the impacts of urbanization on the spatial extent of mangroves in China.
Int. J. Appl. Earth Obs. Geoinformation, 2021
Int. J. Appl. Earth Obs. Geoinformation, 2021
Mangrove Species Mapping Using Deep Learning with Fusion of Hyperspectral and High-Resolution Multispectral Images.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
2020
Remote. Sens., 2020
Analyzing Mangrove Zonation Dynamics Using Time-Series High-Resolution Satellite Images.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020
2019
Impervious Surface Estimation From Optical and Polarimetric SAR Data Using Small-Patched Deep Convolutional Networks: A Comparative Study.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019
Improving Impervious Surface Extraction With Shadow-Based Sparse Representation From Optical, SAR, and LiDAR Data.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019
A small-patched convolutional neural network for mangrove mapping at species level using high-resolution remote-sensing image.
Ann. GIS, 2019
2018
A Comparative Study Of Impervious Surface Estimation From Optical And Sar Data Using Deep Convolutional Networks.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018