Prof.Dr. Haiwei Li | Remote Sensing | Best Researcher Award
Prof.Dr. Haiwei Li , Xiโan Institute of Optics and Precision Mechanics , CAS , China.
Dr. Haiwei Li is an Associate Professor at the Xiโan Institute of Optics and Precision Mechanics (OPT), Chinese Academy of Sciences (CAS).ย ย His expertise lies in remote sensing data processing, hyperspectral instrument development, and software design using Matlab, IDL, and Python.ย
ย He has made significant contributions to spaceborne hyperspectral remote sensing, data quality improvement, and radiometric correction.ย
ย His research integrates spectral imaging with radiative transfer models, advancing hyperspectral payload applications.ย
remote sensing Funded by multiple CAS projects, Dr. Li is dedicated to enhancing airborne and spaceborne remote se technologies.
Publication Profile
Scopus
Orcid
Education & Experienceย 

ย Education:
ย 2013-2016ย โ Ph.D. in Remote Sensing & GIS, Institute of Remote Sensing Applications, CAS
ย 2012-2016ย โ Ph.D. in Photogrammetry & Remote Sensing, Central South University
ย 2009-2012ย โ B.Sc. in Surveying & Mapping, Central South University
ย Employment:
ย 2021-Presentย โ Associate Professor, Xi’an Institute of Optics & Precision Mechanics (OPT), CAS
ย 2017-2020ย โ Assistant Professor, Xi’an Institute of Optics & Precision Mechanics (OPT), CAS
ย 2016-2017ย โ Engineer, The First Institute of Aero-photogrammetry & Remote Sensing, NASG
Suitability Summary
Dr. Haiwei Li, an esteemed researcher at theย Xi’an Institute of Optics and Precision Mechanics (OPT), Chinese Academy of Sciences (CAS), is a highly deserving candidate for theย Best Researcher Award. His exceptional contributions toย remote sensing, hyperspectral imaging, and spectral data processingย have significantly advanced the field, particularly in spaceborne and airborne imaging technologies. With a strong background inย 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 Developmentย 

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.ย ย His work in developing spaceborne hyperspectral image processing algorithms has led to improved image fusion, denoising, and machine learning applications.ย
ย He has played a vital role in pre-research, project approvals, and the validation of space missions, ensuring high-quality hyperspectral payload development.ย
ย Additionally, his research extends to airborne hyperspectral AOTF and short-wave infrared spectroscopy, enhancing radiometric correction techniques.ย
ย His efforts have secured multiple CAS-funded projects.ย
Research Focusย 

Dr. Haiwei Li’s research is centered onย hyperspectral remote sensingย , with a strong emphasis on:
- Developingย hyperspectral imaging instrumentsย for spaceborne and airborne platformsย
- Radiometric correctionย and quality improvement of spectral dataย
- Advancedย image processing techniquesย such asย fusion, denoising, and machine learningย
- Vicarious calibrationย methods to enhance UAV and satellite data accuracyย
- Integration of hyperspectral imaging withย radiative transfer modelsย to refine atmospheric correctionsย
His work contributes to remote sensing applications inย environmental monitoring, precision agriculture, and disaster assessmentย
Awards & Honorsย 

ย Western Light Talent Program Awardย โ Chinese Academy of Sciences
ย Multiple CAS-funded Research Grantsย for hyperspectral remote sensing advancements
ย Lead Investigator (PI) for Several Major Projectsย in UAV and spaceborne imaging
ย Published in Prestigious Journalsย such as IEEE JSTARS and Acta Optica Sinica
ย Key Contributor to Space Program Approvals & Hyperspectral Payload Development
Publication Top Notes
ย Multi-Level Spectral Attention Network for Hyperspectral BRDF Reconstruction from Multi-Angle Multi-Spectral Images
ย Journal:ย Remote Sensing
ย Publication Date:ย 2025-02-28
ย DOI:ย 10.3390/rs17050863
ย Contributors:ย Liyao Song, Haiwei Li
ย Fusion of Hyperspectral and Multispectral Images with Radiance Extreme Area Compensation
ย Journal:ย Remote Sensing
ย Publication Date:ย 2024-03-31
ย DOI:ย 10.3390/rs16071248
ย Contributors:ย Yihao Wang, Jianyu Chen, Xuanqin Mou, Tieqiao Chen, Junyu Chen, Jia Liu, Xiangpeng Feng, Haiwei Li, Geng Zhang, Shuang Wang et al.
ย Methodology and Modeling of UAV Push-Broom Hyperspectral BRDF Observation Considering Illumination Correction
ย Journal:ย Remote Sensing
ย Publication Date:ย 2024-01-31
ย DOI:ย 10.3390/rs16030543
ย Contributors:ย Zhuo Wang, Haiwei Li, Shuang Wang, Liyao Song, Junyu Chen
ย Attention Network with Outdoor Illumination Variation Prior for Spectral Reconstruction from RGB Images
ย Journal:ย Remote Sensing
ย Publication Date:ย 2023-12-31
ย DOI:ย 10.3390/rs16010180
ย Contributors:ย Liyao Song, Haiwei Li, Song Liu, Junyu Chen, Jiancun Fan, Quan Wang, Jocelyn Chanussot
ย An Integrated Solution of UAV Push-Broom Hyperspectral System Based on Geometric Correction with MSI and Radiation Correction Considering Outdoor Illumination Variation
ย Journal:ย Remote Sensing
ย Publication Date:ย 2022-12
ย DOI:ย 10.3390/rs14246267
ย Contributors:ย Liyao Song, Haiwei Li, Tieqiao Chen, Junyu Chen, Song Liu, Jiancun Fan, Quan Wang