Mengmeng Li

Orcid: 0000-0002-9083-0475

Affiliations:
  • Fuzhou University, Spatial Information Research Center of Fujian, China
  • University of Twente, Faculty of Geo-Information Science and Earth Observation, Enschede, Netherlands
  • University of Oklahoma, Norman, OK, USA


According to our database1, Mengmeng Li authored at least 27 papers between 2011 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
Height estimation from single aerial imagery using contrastive learning based multi-scale refinement network.
Int. J. Digit. Earth, December, 2023

A Multi-Task Consistency Enhancement Network for Semantic Change Detection in HR Remote Sensing Images and Application of Non-Agriculturalization.
Remote. Sens., November, 2023

Characterizing Intercity Mobility Patterns for the Greater Bay Area in China.
ISPRS Int. J. Geo Inf., January, 2023

Detecting Building Changes Using Multimodal Siamese Multitask Networks From Very-High-Resolution Satellite Images.
IEEE Trans. Geosci. Remote. Sens., 2023

Integrating Spatial Details With Long-Range Contexts for Semantic Segmentation of Very High-Resolution Remote-Sensing Images.
IEEE Geosci. Remote. Sens. Lett., 2023

2022
Identifying Urban Functional Regions from High-Resolution Satellite Images Using a Context-Aware Segmentation Network.
Remote. Sens., 2022

Vegetation Monitoring for Mountainous Regions Using a New Integrated Topographic Correction (ITC) of the SCS + C Correction and the Shadow-Eliminated Vegetation Index.
Remote. Sens., 2022

Rotation-Aware Building Instance Segmentation From High-Resolution Remote Sensing Images.
IEEE Geosci. Remote. Sens. Lett., 2022

Delineation of agricultural fields using multi-task BsiNet from high-resolution satellite images.
Int. J. Appl. Earth Obs. Geoinformation, 2022

Boundary-aware multi-task neural networks for agricultural field extraction from very high-resolution satellite images.
Proceedings of the 29th International Conference on Geoinformatics, 2022

The use of Siamese multi-task neural network for building change detection from VHR remote sensing Images.
Proceedings of the 29th International Conference on Geoinformatics, 2022

The use of ALSTM-FCN for tobacco planting extraction from time-series Sentinel-1A Sar images.
Proceedings of the 29th International Conference on Geoinformatics, 2022

Delineation of agricultural fields using Psi-Net from high-resolution remote sensing images.
Proceedings of the 10th International Conference on Agro-geoinformatics, 2022

2021
Vegetable mapping using fuzzy classification of Dynamic Time Warping distances from time series of Sentinel-1A images.
Int. J. Appl. Earth Obs. Geoinformation, 2021

Extracting tobacco planting areas using LSTM from time series Sentinel-1 SAR data.
Proceedings of the 9th International Conference on Agro-Geoinformatics, 2021

The use of Google Earth Engine and Geographical Detectors to monitor farmland changes in Fujian province.
Proceedings of the 9th International Conference on Agro-Geoinformatics, 2021

2020
Mapping Tea Plantations from VHR Images Using OBIA and Convolutional Neural Networks.
Remote. Sens., 2020

Mapping Land Use from High Resolution Satellite Images by Exploiting the Spatial Arrangement of Land Cover Objects.
Remote. Sens., 2020

Estimation of Seasonal Evapotranspiration for Crops in Arid Regions Using Multisource Remote Sensing Images.
Remote. Sens., 2020

A Bayesian characterization of urban land use configurations from VHR remote sensing images.
Int. J. Appl. Earth Obs. Geoinformation, 2020

2019
Vegetable classification in Indonesia using Dynamic Time Warping of Sentinel-1A dual polarization SAR time series.
Int. J. Appl. Earth Obs. Geoinformation, 2019

2018
Potential of Multi-Temporal Sentinel-1A Dual Polarization SAR Images for Vegetable Classification in Indonesia.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

2017
Incorporating Open Source Data for Bayesian Classification of Urban Land Use From VHR Stereo Images.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017

2016
Region-based urban road extraction from VHR satellite images using Binary Partition Tree.
Int. J. Appl. Earth Obs. Geoinformation, 2016

Two-level active learning method for debris detection using VHR satellite imagery and local aerial surveys.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

Urban land use extraction from very high resolution remote sensing images by bayesian network.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

2011
Genetic algorithm optimized SVM in object-based classification of quickbird imagery.
Proceedings of the IEEE International Conference on Spatial Data Mining and Geographical Knowledge Services, 2011


  Loading...