Frontiers of Data and Computing ›› 2025, Vol. 7 ›› Issue (4): 54-66.

CSTR: 32002.14.jfdc.CN10-1649/TP.2025.04.005

doi: 10.11871/jfdc.issn.2096-742X.2025.04.005

• Special Issue: Artificially Intelligent Models and Tools for Space Science Big Data • Previous Articles     Next Articles

Software Development for Martian Mineral Identification and Distribution Mapping

LIU Changqing*(),LYU Yingbo,LING Zongcheng   

  1. School of Space Sciences and Technology, Institute of Space Sciences, Shandong University, Weihai, Shandong 264209, China
  • Received:2025-06-30 Online:2025-08-20 Published:2025-08-21
  • Contact: LIU Changqing E-mail:liucq@sdu.edu.cn

Abstract:

[Objective] Mars exploration missions have acquired massive imaging spectral data, presenting significant challenges to traditional manual processing and visual interpretation approaches. This study introduces a generalized methodology for processing Martian imaging spectral data, coupled with the development of a software for automatic Martian mineral identification and distribution mapping. [Methods] The software leverages the FATT algorithm based on RELAB spectral datasets to enable automated mineral type classification, integrates spectral matching techniques (SAM, SID, SID_SA) for generating spatial distribution maps, and derives spectral parameter distributions by analyzing visible-near-infrared features (e.g., absorption depth) of Martian minerals. [Results] The validation using preprocessed imaging spectral data from MMS, CRISM, and OMEGA payloads demonstrates that the software facilitates efficient mineral identification and distribution mapping, substantially streamlining processing workflows and reducing analysis time for planetary scientists.

Key words: Mars, visible and near-infrared imaging spectroscopy, remote sensing, mineral distribution, software development