Individual Resume:

Su Yuanchao, a male, PhD, lecturer, and IEEE Member. Graduated from Sun Yat-sen University in December 2019, and gained PhD degree in Mapping and Geographic Information; Since January 2020, working in the Department of Remote Sensing Science and Technology, Xi'an University of Science and Technology. As a member of the International Institute of Electrical and Electronics Engineers' Remote sensing Community (IEEE GRSS), IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Cybernetics, IEEE Geoscience and Remote Sensing Letters, and IEEE Journal of Selected Topics in Applied Earth Observations and Journal of Applied Remote Sensing, reviewers of five international SCI journals in the field of remote sensing. By 2021, he has published more than 10 academic papers as the first author, including one ESI highly cited paper (which was published from July 2019 to December 2021,115 Google academic references), 2 Top grade SCI papers, and one invention patent of national approval. At present, he has presided over one National Natural Science Foundation of China and one provincial and ministerial fund project. In November 2020, he was approved as a master's tutor at Xi' an University of Science and Technology.

Email:suych3@xust.edu.cn

Field of Investigation:

Hyperspectral remote sensing image processing; deep learning; machine learning; group intelligent algorithm; hybrid image element decomposition; hyperspectral image classification; remote sensing data object detection.

Opening Courses:

Undergraduate courses: Hyperspectral Remote Sensing, Machine Learning

Postgraduate Program: Hyperspectral Remote Sensing

Study and Work Experience:

2015.9-2019.12, Sun Yat-sen University, mapping and GIS, PhD

2013.9-2015.9, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences (now Institute of Space Information, Chinese Academy of Sciences), exchange students

2018.8-2019.8, Department of Computer, Electronic Engineering, University of Tennessee, USA

2020.1-is now a full-time lecturer at Xi'an University of Science and Technology

Representative Academic Achievements:

[1] "A hyperspectral image end-element extraction method and system", national invention patent, Patent No.: ZL201610266516.X, authorization date: May 3,2019

Major Scientific Research Projects:

(1) National Natural Science Foundation of China (42001319), youth project, hyperspectral image nonlinear dismixing based on deep multi-task joint learning of deep autoencoder, 240,000, January 2021-December 2013, hosted, in research.

(2) Scientific Research Special Project of Shaanxi Provincial Department of Education, hyperspectral remote sensing unmixing research based on the hierarchical characterization of a spectral hybrid model, 20,000, January 2021-December 2022, presided over, in research.

(3) National Natural Science Foundation of China project (61771496), surface project, hyperspectral image multi-scale attribute representation and fine classification of mangrove tree species, 620,000, January 2018-December 2021, participation, has been concluded.

(4) National Natural Science Foundation of China project (61976234), general project, land use classification research of deep adaptive integration of remote sensing image data and social perception data, 610,000, January 2020 to December 2023, participated in the research.