Yuan Yuan

Affiliations:
  • Nanjing University of Posts and Telecommunications, School of Geographic and Biologic Information, Department of Surveying and Geoinformatics, Nanjing, China
  • Chinese Academy of Sciences, Institute of Remote Sensing and Digital Earth, Beijing, China (PhD 2016)


According to our database1, Yuan Yuan authored at least 11 papers between 2015 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

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Bibliography

2024
Edge-Guided Perceptual Network for Infrared Small Target Detection.
IEEE Trans. Geosci. Remote. Sens., 2024

2023
Few-Shot Hyperspectral Image Classification Using Meta Learning and Regularized Finetuning.
IEEE Trans. Geosci. Remote. Sens., 2023

2022
SITS-Former: A pre-trained spatio-spectral-temporal representation model for Sentinel-2 time series classification.
Int. J. Appl. Earth Obs. Geoinformation, 2022

2021
Self-Supervised Pretraining of Transformers for Satellite Image Time Series Classification.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

Temporal-Spatial Soil Moisture Estimation from CYGNSS Using Machine Learning Regression With a Preclassification Approach.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

2020
Using An Attention-Based LSTM Encoder-Decoder Network for Near Real-Time Disturbance Detection.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020

2019
A New Framework for Modelling and Monitoring the Conversion of Cultivated Land to Built-up Land Based on a Hierarchical Hidden Semi-Markov Model Using Satellite Image Time Series.
Remote. Sens., 2019

2016
A Spatio-Temporal Model for Forest Fire Detection Using HJ-IRS Satellite Data.
Remote. Sens., 2016

2015
Continuous Change Detection and Classification Using Hidden Markov Model: A Case Study for Monitoring Urban Encroachment onto Farmland in Beijing.
Remote. Sens., 2015

Satellite Image Time Series Decomposition Based on EEMD.
Remote. Sens., 2015

A Novel Control Point Dispersion Method for Image Registration Robust to Local Distortion.
Proceedings of the Image and Graphics - 8th International Conference, 2015


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