Yongjie Zheng

Yongjie Zheng is currently a Ph.D. student at Remote Sensing Laboratory (RSLab), University of Trento, advised by Prof. Lorenzo Bruzzone. She was also an academic visitor of Technische Universität Berlin, Germany. Her current research is focusing on AI for Earth and planetary surface mapping.

Her research interests:

🌍 Remote Sensing, Information Fusion, Artificial Intelligence
🛰️ Earth Surface Observation, Deep Space Mapping, Planetary Exploration
📡 Large-scale mapping of Earth and other planets (Lunar, Mars, Asteroid Bennu)

Experiences

Education Experiences

Duration	Degree	Institution	Supervisor	GPA (Rank)
2022.12 - Present	Ph.D.	University of Trento	Prof. Lorenzo Bruzzone	-
2018 - 2021	M.A.	Tongji University	Prof. Sicong Liu	4.62/5.00 (1/74)
2014 - 2018	B.E.	Henan Polytechnic University	-	3.98/5.00 (1/49)

Work & Overseas Experiences

Duration	Position	Institution	Location
2024.09 - 2024.12	Academic Visitor	Technische Universität Berlin	Germany
2021.06 - 2022.06	Machine Learning Engineer	Shanghai Fabric Eyes Artificial Intelligence Technology Co., Ltd	China

Project Experiences

2021 – 2024 – National Natural Science Foundation of China (42071324)
- Designed an automatic shallow-deep feature fusion network for VHR image classification;
- Designed an automatic multi-temporal feature fusion network for multi-temporal image classification.
2019 – 2022 – National Key R & D Program of China (2018YFB050500)
- Designed a two-stage multiple feature fusion approach for VHR image classification (based on machine learning);
- Designed a series of feature fusion networks for VHR image classification (based on deep learning).
2019 – 2020 – Key Laboratory of Cities’ Mitigation and Adaptation to Climate Change in Shanghai, CMACC Open Foundation (QHBHSYS201904)
- Analyzed the spatio-temporal characteristics of urban LULC and LST over Shanghai during 2009–2019.
2018 – 2019 – National Natural Science Foundation of China (41601354)
- Designed an automatic change detection method for large-scale scene remote sensing images;
- Proposed a novel fire index-based burned area change detection approach using Landsat-8 data;
- Designed a feature fusion method based on Landsat-8 OLI-SWIR and TIRS images for burned area change detection.

Research Activities

Conference Activities

2024 – IGARSS (Oral)
2021 – The 6th National Imaging Spectrum Earth Observation (NISEO) (Oral)
2020 – IGWG (Oral)
2019 – MultiTemp (Oral & Volunteer)
…

Reviewing Activities

ISPRS Journal of Photogrammetry and Remote Sensing
IEEE Transactions on Geoscience and Remote Sensing (TGRS)
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS)
IEEE Geoscience and Remote Sensing Letters (GRSL)
SPIE Journal of Applied Remote Sensing (JARS)
…

Selected Publications

IEEE_TGRS

ELunarDTMNet: Efficient Reconstruction of High-Resolution Lunar DTM From Single-View Orbiter Images

Hao Chen, Philipp Gläser, Xuanyu Hu, Konrad Willner, Yongjie Zheng^†, Friedrich Damme, Lorenzo Bruzzone, and Jürgen Oberst

IEEE Transactions on Geoscience and Remote Sensing (IEEE_TGRS), 2024

Bib HTML

@article{chen2024ELunarDTMNet,
  author = {Chen, Hao and Gläser, Philipp and Hu, Xuanyu and Willner, Konrad and Zheng, Yongjie and Damme, Friedrich and Bruzzone, Lorenzo and Oberst, Jürgen},
  journal = {IEEE Transactions on Geoscience and Remote Sensing},
  title = {ELunarDTMNet: Efficient Reconstruction of High-Resolution Lunar DTM From Single-View Orbiter Images},
  year = {2024},
  pages = {1--20},
}

IEEE_IGARSS

A Transformer-Enhanced Encoder-Decoder Network For Unsupervised Heterogeneous Remote Sensing Image Change Detection

Yongjie Zheng, Sicong Liu, and Lorenzo Bruzzone

In IEEE International Geoscience and Remote Sensing Symposium (IEEE_IGARSS) , 2024

Bib HTML

@inproceedings{zheng2024ETD,
  author = {Zheng, Yongjie and Liu, Sicong and Bruzzone, Lorenzo},
  booktitle = {IEEE International Geoscience and Remote Sensing Symposium},
  title = {A Transformer-Enhanced Encoder-Decoder Network For Unsupervised Heterogeneous Remote Sensing Image Change Detection},
  year = {2024},
  pages = {8830--8834},
}

IEEE_TGRS

Hybrid FusionNet: A Hybrid Feature Fusion Framework for Multisource High-Resolution Remote Sensing Image Classification

Yongjie Zheng, Sicong Liu, Hao Chen, and Lorenzo Bruzzone

IEEE Transactions on Geoscience and Remote Sensing (IEEE_TGRS), 2024

Bib HTML

@article{zheng2024HFN,
  author = {Zheng, Yongjie and Liu, Sicong and Chen, Hao and Bruzzone, Lorenzo},
  journal = {IEEE Transactions on Geoscience and Remote Sensing},
  title = {Hybrid FusionNet: A Hybrid Feature Fusion Framework for Multisource High-Resolution Remote Sensing Image Classification},
  year = {2024},
  pages = {1--14},
}

IEEE_GRSL

An Attention-Enhanced Feature Fusion Network (AeF2N) for Hyperspectral Image Classification

Yongjie Zheng, Sicong Liu, and Lorenzo Bruzzone

IEEE Geoscience and Remote Sensing Letters (IEEE_GRSL), 2023

Bib HTML

@article{zheng2023AeF2N,
  author = {Zheng, Yongjie and Liu, Sicong and Bruzzone, Lorenzo},
  journal = {IEEE Geoscience and Remote Sensing Letters},
  title = {An Attention-Enhanced Feature Fusion Network (AeF2N) for Hyperspectral Image Classification},
  year = {2023},
  pages = {1--5},
}

ERS

Remote Sensing Change Detection Technology in the Era of Artificial Intelligence: Inheritance, Development and Challenges

Sicong Liu, Kecheng Du, Yongjie Zheng, Jin Chen, Peijun Du, and Xiaohua Tong

Journal of Remote Sensing (ERS), 2023

Bib HTML

@article{liu2023,
  title = {Remote Sensing Change Detection Technology in the Era of Artificial Intelligence: Inheritance, Development and Challenges},
  author = {Liu, Sicong and Du, Kecheng and Zheng, Yongjie and Chen, Jin and Du, Peijun and Tong, Xiaohua},
  journal = {Journal of Remote Sensing},
  number = {9},
  year = {2023},
}

IEEE_TGRS

A Shallow-to-Deep Feature Fusion Network for VHR Remote Sensing Image Classification

Sicong Liu, Yongjie Zheng^‡†, Qian Du, Lorenzo Bruzzone, Alim Samat, Xiaohua Tong, Yanmin Jin, and Chao Wang

IEEE Transactions on Geoscience and Remote Sensing (IEEE_TGRS), 2022

Bib HTML

@article{liu2022SDF2N,
  author = {Liu, Sicong and Zheng, Yongjie and Du, Qian and Bruzzone, Lorenzo and Samat, Alim and Tong, Xiaohua and Jin, Yanmin and Wang, Chao},
  journal = {IEEE Transactions on Geoscience and Remote Sensing},
  title = {A Shallow-to-Deep Feature Fusion Network for VHR Remote Sensing Image Classification},
  year = {2022},
  pages = {1--13},
}

IEEE_JSTARS

A Novel Multitemporal Deep Fusion Network (MDFN) for Short-Term Multitemporal HR Images Classification

Yongjie Zheng, Sicong Liu, Qian Du, Hui Zhao, Xiaohua Tong, and Michele Dalponte

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (IEEE_JSTARS), 2021

Bib HTML

@article{zheng2021MDFN,
  author = {Zheng, Yongjie and Liu, Sicong and Du, Qian and Zhao, Hui and Tong, Xiaohua and Dalponte, Michele},
  journal = {IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing},
  title = {A Novel Multitemporal Deep Fusion Network (MDFN) for Short-Term Multitemporal HR Images Classification},
  year = {2021},
  pages = {10691--10704},
}

IEEE_JSTARS

A Novel Feature Fusion Approach for VHR Remote Sensing Image Classification

Sicong Liu, Yongjie Zheng^‡†, Qian Du, Alim Samat, Xiaohua Tong, and Michele Dalponte

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (IEEE_JSTARS), 2021

Bib HTML

@article{zheng2021TsF,
  author = {Liu, Sicong and Zheng, Yongjie and Du, Qian and Samat, Alim and Tong, Xiaohua and Dalponte, Michele},
  journal = {IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing},
  title = {A Novel Feature Fusion Approach for VHR Remote Sensing Image Classification},
  year = {2021},
  pages = {464--473},
}

EJRS

A novel fire index-based burned area change detection approach using Landsat-8 OLI data

Sicong Liu, Yongjie Zheng^‡, Michele Dalponte, and Xiaohua Tong

European Journal of Remote Sensing (EJRS), 2020

Bib HTML

@article{liu2020,
  author = {Liu, Sicong and Zheng, Yongjie and Dalponte, Michele and Tong, Xiaohua},
  title = {A novel fire index-based burned area change detection approach using Landsat-8 OLI data},
  journal = {European Journal of Remote Sensing},
  pages = {104--112},
  year = {2020},
}

MultiTemp

Analyzing spatio-temporal characteristics of urban LULC and LST over Shanghai during 2009–2019

Yongjie Zheng, Sicong Liu, Zhengxiang Song, Xiaohua Tong, and Huan Xie

In International Workshop on the Analysis of Multitemporal Remote Sensing Images (MultiTemp) , 2019

Bib HTML

@inproceedings{zheng2019,
  author = {Zheng, Yongjie and Liu, Sicong and Song, Zhengxiang and Tong, Xiaohua and Xie, Huan},
  booktitle = {International Workshop on the Analysis of Multitemporal Remote Sensing Images},
  title = {Analyzing spatio-temporal characteristics of urban LULC and LST over Shanghai during 2009--2019},
  year = {2019},
  pages = {1--4},
}

IEEE_IGARSS

Feature-Level Fusion of Landsat-8 OLI-SWIR and TIR Images for Fine Burned Area Change Detection

Sicong Liu, Yongjie Zheng^‡, Michele Dalponte, Xiaohua Tong, and Qian Du

In IEEE International Geoscience and Remote Sensing Symposium (IEEE_IGARSS) , 2019

Bib HTML

@inproceedings{zheng2019igarss,
  author = {Liu, Sicong and Zheng, Yongjie and Dalponte, Michele and Tong, Xiaohua and Du, Qian},
  booktitle = {IEEE International Geoscience and Remote Sensing Symposium},
  title = {Feature-Level Fusion of Landsat-8 OLI-SWIR and TIR Images for Fine Burned Area Change Detection},
  year = {2019},
  pages = {9964--9967},
}