image: This figure illustrates the comprehensive workflow for transforming raw data into scientifically mineralogical information. The pre-processing stage includes payload performance calibration, radiometric calibration, and spectral calibration, etc. Following steps like geometric correction and photometric correction, the reflectance data undergoes advanced mineralogical analysis through two primary methods: spectral unmixing, and mineral mapping techniques. The final output provides quantitative mineral distribution maps that enable accurate geological interpretation and resource evaluation of the lunar surface
Credit: Beijing Zhongke Journal Publising Co. Ltd.
Spectral imagers have emerged as indispensable tools for analyzing the mineral composition of the lunar surface, serving as key scientific payloads in modern lunar exploration missions. Driven by the demand for high-precision lunar data and rapid advancements in spectral imaging technology, there is an increasing emphasis on acquiring remote sensing data with enhanced spatial and spectral resolution across broader wavelength ranges. However, these higher-resolution datasets also introduce substantial processing challenges, requiring sophisticated analytical methods to extract meaningful scientific insights.
A comprehensive review published in the Journal of Geo-information Science by Dr. ZHANG Peng (Researcher), Dr. LIU Wanyue (Assistant Researcher), and their team at the Technology and Engineering Center for Space Utilization, Chinese Academy of Sciences, provides an in-depth discussion on "lunar hyperspectral orbiter data processing."
The study systematically summarizes existing lunar spectral orbital datasets, including payload specifications and their associated scientific discoveries. Furthermore, it delves into key technical challenges across the data processing chain—from pre-processing and radiometric correction to the retrieval of lunar surface parameters. Finally，high-resolution spectral data are vital for unlocking new discoveries in lunar science, from understanding surface evolution to identifying potential resources. Hyperspectral orbital observations will play a critical role in future manned lunar missions and lunar base site selection, enabling precise mineral identification and supporting long-term exploration goals.
This publication offers a comprehensive roadmap for both researchers and mission planners aiming to optimize hyperspectral data utilization in lunar exploration.
For more details, please refer to the original article:
Current status and future challenges of key technologies for processing lunar hyperspectral orbit data.
https://www.sciengine.com/JGIS/doi/10.12082/dqxxkx.2025.240467（If you want to read the English version of the full text, please click on the “iFLYTEK Translation” in the article page.）
Article Title
Development Status and Future Challenges of Key Technologies for Lunar Hyperspectral Orbiter Data Processing
Article Publication Date
25-Apr-2025