Prof.Dr. Haiwei Li , Xi’an Institute of Optics and Precision Mechanics , CAS , China.
Dr. Haiwei Li is an Associate Professor at the Xi’an Institute of Optics and Precision Mechanics (OPT), Chinese Academy of Sciences (CAS). 
His expertise lies in remote sensing data processing, hyperspectral instrument development, and software design using Matlab, IDL, and Python. 
He has made significant contributions to spaceborne hyperspectral remote sensing, data quality improvement, and radiometric correction. 
His research integrates spectral imaging with radiative transfer models, advancing hyperspectral payload applications. 
remote sensing Funded by multiple CAS projects, Dr. Li is dedicated to enhancing airborne and spaceborne remote se technologies. 
Publication Profile
Education & Experience 
Education:
- 2013-2016 – Ph.D. in Remote Sensing & GIS, Institute of Remote Sensing Applications, CAS
2012-2016 – Ph.D. in Photogrammetry & Remote Sensing, Central South University- 2009-2012 – B.Sc. in Surveying & Mapping, Central South University
Employment:
- 2021-Present – Associate Professor, Xi’an Institute of Optics & Precision Mechanics (OPT), CAS
- 2017-2020 – Assistant Professor, Xi’an Institute of Optics & Precision Mechanics (OPT), CAS
2016-2017 – Engineer, The First Institute of Aero-photogrammetry & Remote Sensing, NASG
Suitability Summary
Dr. Haiwei Li, an esteemed researcher at the Xi’an Institute of Optics and Precision Mechanics (OPT), Chinese Academy of Sciences (CAS), is a highly deserving candidate for the Best Researcher Award. His exceptional contributions to remote sensing, hyperspectral imaging, and spectral data processing have significantly advanced the field, particularly in spaceborne and airborne imaging technologies. With a strong background in radiometric correction, machine learning-based hyperspectral data analysis, and instrument development, Dr. Li has played a crucial role in enhancing the accuracy and applicability of remote sensing technologies.
Professional Development 
Dr. Haiwei Li has significantly contributed to the advancement of hyperspectral remote sensing, focusing on radiation transfer models and spectral imaging to enhance data simulation accuracy. His work in developing spaceborne hyperspectral image processing algorithms has led to improved image fusion, denoising, and machine learning applications. He has played a vital role in pre-research, project approvals, and the validation of space missions, ensuring high-quality hyperspectral payload development. Additionally, his research extends to airborne hyperspectral AOTF and short-wave infrared spectroscopy, enhancing radiometric correction techniques. His efforts have secured multiple CAS-funded projects.
Research Focus
Dr. Haiwei Li’s research is centered on hyperspectral remote sensing , with a strong emphasis on:
- Developing hyperspectral imaging instruments for spaceborne and airborne platforms
- Radiometric correction and quality improvement of spectral data
- Advanced image processing techniques such as fusion, denoising, and machine learning
- Vicarious calibration methods to enhance UAV and satellite data accuracy
- Integration of hyperspectral imaging with radiative transfer models to refine atmospheric corrections
His work contributes to remote sensing applications in environmental monitoring, precision agriculture, and disaster assessment
Awards & Honors
- Western Light Talent Program Award – Chinese Academy of Sciences
- Multiple CAS-funded Research Grants for hyperspectral remote sensing advancements
- Lead Investigator (PI) for Several Major Projects in UAV and spaceborne imaging
- Published in Prestigious Journals such as IEEE JSTARS and Acta Optica Sinica
- Key Contributor to Space Program Approvals & Hyperspectral Payload Development
Publication Top Notes
Multi-Level Spectral Attention Network for Hyperspectral BRDF Reconstruction from Multi-Angle Multi-Spectral Images
Journal: Remote Sensing
Publication Date: 2025-02-28
DOI: 10.3390/rs17050863
Contributors: Liyao Song, Haiwei Li
Fusion of Hyperspectral and Multispectral Images with Radiance Extreme Area Compensation
Journal: Remote Sensing
Publication Date: 2024-03-31
DOI: 10.3390/rs16071248
Contributors: Yihao Wang, Jianyu Chen, Xuanqin Mou, Tieqiao Chen, Junyu Chen, Jia Liu, Xiangpeng Feng, Haiwei Li, Geng Zhang, Shuang Wang et al.
Methodology and Modeling of UAV Push-Broom Hyperspectral BRDF Observation Considering Illumination Correction
Journal: Remote Sensing
Publication Date: 2024-01-31
DOI: 10.3390/rs16030543
Contributors: Zhuo Wang, Haiwei Li, Shuang Wang, Liyao Song, Junyu Chen
Attention Network with Outdoor Illumination Variation Prior for Spectral Reconstruction from RGB Images
Journal: Remote Sensing
Publication Date: 2023-12-31
DOI: 10.3390/rs16010180
Contributors: Liyao Song, Haiwei Li, Song Liu, Junyu Chen, Jiancun Fan, Quan Wang, Jocelyn Chanussot
An Integrated Solution of UAV Push-Broom Hyperspectral System Based on Geometric Correction with MSI and Radiation Correction Considering Outdoor Illumination Variation
Journal: Remote Sensing
Publication Date: 2022-12
DOI: 10.3390/rs14246267
Contributors: Liyao Song, Haiwei Li, Tieqiao Chen, Junyu Chen, Song Liu, Jiancun Fan, Quan Wang
Conclusion