Lei Lei's Homepage

Lei Lei (雷蕾)
Email: RSIDEAgri@qq.com
Ph.D candidate (Expected to granduate next June)

Wuhan University
State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, (LIESMARS)
RSIDEA group

[GitHub] [GoogleScholar] [Linkedin] [ResearchGate] [ORCID]
Location: LIESMARS, Luoyu Road #129, Hongshan District, Wuhan, Hubei, China
Research Interest | Education | Publications | Awards and Honors|

😊 I am on the academic job market (for postdocs). Please feel free to contact me. Thank you very much!

Research Interest

I am working on intelligent interpretation of remote sensing imagery, especially the deep learning method in crop mapping. My research focus on the following topic:

One-class crop mapping and Fine-grained crop mapping
Crop map updating without in situ samples
Multi-modal data analysis in crop mapping

My future research is planned to study deeper in AI for Earth Observation at large scale to exploit the great potential of deep learning models in the application of surface environment monitoring.

Education

2020.09-now M.Eng. and Ph.D candidate of Photogrammetry and Remote Sensing in LIESMARS, Wuhan University.
Supervisor: Prof. Liangpei Zhang & Prof. Yanfei Zhong & AP. Xinyu Wang
2017.09-2020.06 B.E. minor in English in School of Foreign Languages, Southwest Jiaotong University.
2016.09-2020.06 B.E. major in Remote Sensing Science and Technology in Faclty of Geoscience and Engineering, Southwest Jiaotong University.

Publications

Journals:

CROPUP: Historical products are all you need? An end-to-end cross-year crop map updating framework without the need for in situ samples.
Lei Lei, Xinyu Wang, Liangpei Zhang, Xin Hu, and Yanfei Zhong
Remote Sensing of Environment, (RSE), 2024, Accept.
(SCI Q1 TOP, IF=11.1 )
An end-to-end crop map updating framework is proposed to address the requirement of in-situ sample for crop map by automatically correcting the noisy label in historical product and aligning the cross-year features, which has been validated in the Corn Belt, U.S. for long-term and multi-scene crop map updating.

PhenoCropNet: A phenology-aware-based SAR crop mapping network for cloudy and rainy areas. IEEE Transactions on Geoscience and Remote Sensing.
Lei Lei, Yanfei Zhong, Xinyu Wang, and Liangpei Zhang
IEEE Transactions on Geoscience and Remote Sensing, (TGRS), 2024, Accept.
(SCI Q1 TOP, IF=7.5 )
A phenology-aware-based SAR crop mapping network is proposed for cloudy and rainy area based on the hierarchical phenological self-attention network to address the problem of traditional methods that depends on experts’ knowledge for feature design and could hardly differentiate crop with similar phenology.

DOCC: Deep one-class crop classification via positive and unlabeled learning for multi-modal satellite imagery.
Lei Lei, Xinyu Wang, Yanfei Zhong, Hengwei Zhao, Xin Hu, and Chang Luo
International Journal of Applied Earth Observation and Geoinformation, (JAG), 2021, 105: 102598.
(SCI Q1 TOP, IF=7.6 )
A one-class crop classification method is proposed for crop mapping with only samples of target crop to deal with the time-consuming and labor-intensive labelling task of multiple class types, which has been validated in Jianghan Plain for main staple crop extraction.
[Paper]

Conferences:

A multi-level fine-grained crop classification method based on multi-expert knowledge distill.
Lei Lei, Yang Pan, Xinyu Wang, Yanfei Zhong, and Liangpei Zhang
Proceeding of the IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2024), 2024. (EI)
[Paper]

[2] HYBRID VISION TRANSFORMER MODEL FOR HYPERSPECTRAL IMAGE CLASSIFICATION
Lei Lei, Xinyu Wang, Hengwei Zhao, Xin Hu, and Chang Luo, Yanfei Zhong
Proceeding of the IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2021), 2021. (EI)
[Paper]

Awards and Honors

2021.10, The third prize: The 6th National Symposium on Imaging Spectral Earth Observation| 第六届全国成像光谱对地观测学术研讨会优秀汇报人
2021.09, The third prize: 6th National Competition on Geospatial Big Data and Cloud Computing Application Development| 第五届全国地球空间大数据与云计算比赛三等奖
2021.09, Excellence Award: 1st MAP Cup Agricultural Remote Sensing Application Competition | MAP杯农业遥感应用大赛
2020.08, International Summer School Volunteer, Wuhan University | 国际暑期学校志愿者
2020.06, Excellent Graduate of Sichuan Province | 四川省优秀毕业生
2019.12, National Scholarship| 国家奖学金
2019.12, The Second Prize, Sichuan College Surveying and Mapping Skill Contest| 四川省大学生测绘技能大赛
2018.12, National Encouragement Scholarship| 国家励志奖学金
2017.12, The Third Prize, Freshman Mathematical Contest| 新秀杯数学建模三等奖
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