Characterization of Stromatolite Organic Sedimentary Structure Based on Spectral Image Fusion
Author:
Wang Hongpeng12ORCID, Yan Xinru34, Xin Yingjian2, Fang Peipei34ORCID, Wang Yian34, Liu Sicong1ORCID, Jia Jianjun2, Zhang Liang2, Wan Xiong234
Affiliation:
1. College of Surveying and Geo-Informatics, Tongji University, Shanghai 200092, China 2. Key Laboratory of Space Active Opto-Electronics Technology of the Chinese Academy of Sciences, Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai 200083, China 3. Key Laboratory of Systems Health Science of Zhejiang Province, School of Life Science, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou 310024, China 4. University of Chinese Academy of Sciences, Beijing 100049, China
Abstract
This paper evaluates the potential application of Raman baselines in characterizing organic deposition. Taking the layered sediments (Stromatolite) formed by the growth of early life on the Earth as the research object, Raman spectroscopy is an essential means to detect deep-space extraterrestrial life. Fluorescence is the main factor that interferes with Raman spectroscopy detection, which will cause the enhancement of the Raman baseline and annihilate Raman information. The paper aims to evaluate fluorescence contained in the Raman baseline and characterize organic sedimentary structure using the Raman baseline. This study achieves spectral image fusion combined with mapping technology to obtain high spatial and spectral resolution fusion images. To clarify that the fluorescence of organic matter deposition is the main factor causing Raman baseline enhancement, 5041 Raman spectra were obtained in the scanning area of 710 μm × 710 μm, and the correlation mechanism between the gray level of the light-dark layer of the detection point and the Raman baseline was compared. The spatial distribution of carbonate minerals and organic precipitations was detected by combining mapping technology. In addition, based on the BI-IHS algorithm, the spectral image fusion of Raman fluorescence mapping and reflection micrograph, polarization micrograph, and orthogonal polarization micrograph are realized, respectively. A fusion image with high spectral resolution and high spatial resolution is obtained. The results show that the Raman baseline can be used as helpful information to characterize stromatolite organic sedimentary structure.
Funder
National Natural Science Foundation of China National Key R&D Program of China Natural Science Foundation of Shanghai Shanghai Municipal Science and Technology Major Project Shanghai Pilot Program for Basic Research—Chinese Academy of Science, Shanghai Branch Shanghai Rising-Star Program Pre-research project on Civil Aerospace Technologies
Subject
Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry
Reference32 articles.
1. In situ detection of boron by ChemCam on Mars;Gasda;Geophys. Res. Lett.,2017 2. Hollis, J.R., Abbey, W., Beegle, L.W., Bhartia, R., Ehlmann, B.L., Miura, J., Monacelli, B., Moore, K., Nordman, A., and Scheller, E. (2021). A deep-ultraviolet raman and fluorescence spectral library of 62 minerals for the sherloc instrument onboard mars 2020. Planet. Space Sci., 209. 3. Anderson, R.B., Forni, O., Cousin, A., and Wiens, R.C. (2022). Post-landing major element quantification using SuperCam laser induced breakdown spectroscopy. Spectrochim. Acta Part B At. Spectrosc., 188. 4. Deep-UV Raman Spectroscopy of Carbonaceous Precambrian Microfossils: Insights into the Search for Past Life on Mars;Osterhout;Astrobiology,2022 5. Evidence of Archean life: Stromatolites and microfossils;Schopf;Precambrian Res.,2007
|
|