📚 Dr. Yexin Wang is an Associate Professor at the State Key Laboratory of Remote Sensing Science, Aerospace
Information Research Institute, Chinese Academy of Sciences (AIRCAS). With a Ph.D. in Measuring and Testing Technologies and Instruments from Beihang University, she specializes in
planetary remote sensing, computer vision, artificial intelligence, and image processing. Dr. Wang has significantly contributed to China’s planetary exploration missions, including Chang’e-4, Chang’e-5, Chang’e-6, and Tianwen-1, through her expertise in environment perception, navigation, and localization.
🎓 Dr. Yexin Wang earned her Ph.D. in Measuring and Testing Technologies and Instruments from Beihang University, Beijing, in 2014. Her strong academic foundation underpins her advanced research in planetary exploration and image processing.
Experience
🌌 As a key researcher at AIRCAS, Dr. Wang has been actively involved in groundbreaking planetary exploration missions. Her projects span planetary remote sensing, pattern recognition, and environment perception for rovers used in China’s Chang’e and Tianwen-1 missions. She has also collaborated with international institutions like the National Institute for Nuclear Physics (INFN-LNF), contributing to global space exploration advancements.
Awards and Honors
🏆 Dr. Yexin Wang’s outstanding contributions have been widely recognized, with notable achievements in scientific research and innovation. Her leadership in high-profile projects and patents reflects her impactful role in planetary science and technology.
Research Focus
🔍 Dr. Wang’s research revolves around planetary remote sensing, computer vision, artificial intelligence, and image processing. She is particularly focused on environment perception, feature extraction, navigation, and localization for deep-space exploration rovers. Her work ensures precise mapping and analysis of extraterrestrial surfaces.
Conclusion
✨ Dr. Yexin Wang is a distinguished scientist and a driving force behind advancements in planetary exploration. Her dedication to innovation and collaboration has cemented her position as a leading expert in remote sensing and space technology.
Publications
YOLOv8-LCNET: An Improved YOLOv8 Automatic Crater Detection Algorithm and Application in the Chang’e-6 Landing Area (2025) – Sensors. Cited by [10 articles]. DOI: 10.3390/s25010243
Geological context of the Chang’e-6 landing area and implications for sample analysis (2024) – The Innovation. Cited by [15 articles]. DOI: 10.1016/j.xinn.2024.100663
High-Precision Visual Localization of the Chang’e-6 Lander (2024) – National Remote Sensing Bulletin. Cited by [8 articles]. DOI: 10.11834/jrs.20244229
A Catalogue of Impact Craters and Surface Age Analysis in the Chang’e-6 Landing Area (2024) – Remote Sensing. Cited by [20 articles]. DOI: 10.3390/rs16112014
Topographic Mapping Capability Analysis of Moderate Resolution Imaging Camera (MoRIC) Imagery of Tianwen-1 Mars Mission (2023) – Journal of Remote Sensing. Cited by [12 articles]. DOI: 10.34133/remotesensing.0040
A Generative Adversarial Network for Pixel-Scale Lunar DEM Generation from High-Resolution Monocular Imagery and Low-Resolution DEM (2022) – Remote Sensing. Cited by [18 articles]. DOI: 10.3390/rs14215420
Updated lunar cratering chronology model with the radiometric age of Chang’e-5 samples (2022) – Nature Astronomy. Cited by [45 articles]. DOI: 10.1038/s41550-022-01604-3
Progresses and prospects of environment perception and navigation for deep space exploration rovers (2021) – Acta Geodaetica et Cartographica Sinica. Cited by [22 articles]. DOI: 10.11947/j.AGCS.2021.20210290
Visual Localization of the Tianwen-1 Lander Using Orbital, Descent and Rover Images (2021) – Remote Sensing. Cited by [30 articles]. DOI: 10.3390/rs13173439
Enhanced Lunar Topographic Mapping Using Multiple Stereo Images Taken by Yutu-2 Rover (2021) – Photogrammetric Engineering and Remote Sensing. Cited by [25 articles]. DOI: 10.14358/PERS.87.8.567