Luoma Wan

Orcid: 0000-0002-8202-510X

According to our database1, Luoma Wan authored at least 12 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

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

Leveraging optical and SAR data with a UU-Net for large-scale road extraction.
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
GF-5 Hyperspectral Data for Species Mapping of Mangrove in Mai Po, Hong Kong.
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


  Loading...