火星矿物光谱仪光谱微笑的在轨探测

IF 10.6 1区 地球科学 Q1 GEOGRAPHY, PHYSICAL
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引用次数: 0

摘要

作为天文一号(TW-1)的有效载荷,火星矿物光谱仪(MMS)的任务是获取火星表面的高光谱数据,以探测物质成分。光学、机械和热组件的微变形导致火星矿物光谱仪在轨道上出现光谱响应失真,导致像素中心波长和半最大全宽(FWHM)发生系统性变化。这种畸变被称为 "光谱微笑",会影响反射率反演和物质成分检测的准确性。本研究利用火星大气成分和吸收模式的显著特点,介绍了一种通过火星大气吸收通道探测光谱微笑的方法。利用模拟实验和 MMS 获取的高光谱数据,建立并测试了合适的在轨微笑光谱探测技术路线。结果表明,所提出的方法可以实现中心波长偏移,最大误差为 0.32 nm,最大全宽变化误差为 1.95 nm。采用在轨光谱微笑检测显著增强了火星大气吸收的校正,为火星表面反射率反演提供了技术支持。.
本文章由计算机程序翻译,如有差异,请以英文原文为准。
In-orbit detection of the spectral smile for the Mars Mineral Spectrometer

As a payload of Tianwen-1 (TW-1), the Mars Mineral Spectrometer (MMS) is tasked with acquiring hyperspectral data of the Martian surface to detect material composition. Microdeformations in optical, mechanical, and thermal components result in the MMS experiencing spectral response distortion in orbit, leading to systematic changes in pixel central wavelengths and full width at half maximum (FWHM). Known as the spectral smile, this distortion compromises the accuracy of reflectance inversion and material composition detection. This study introduces a method for detecting the spectral smile through the Martian atmospheric absorption channel, capitalizing on the distinct characteristics of the atmospheric composition and absorption patterns of Mars. A suitable technical route for in-orbit spectral smile detection was established and tested using simulation experiments and MMS-acquired hyperspectral data. Results suggest that the proposed method can attain central wavelength shifts with a maximum error of 0.32 nm and FWHM variations with a maximum error of 1.95 nm. Employing in-orbit spectral smile detection markedly enhances the correction of Martian atmospheric absorption and provides technical support for Martian surface reflectance inversion. https://github.com/wubingnote/MMS-Spectral-Smile.

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来源期刊
ISPRS Journal of Photogrammetry and Remote Sensing
ISPRS Journal of Photogrammetry and Remote Sensing 工程技术-成像科学与照相技术
CiteScore
21.00
自引率
6.30%
发文量
273
审稿时长
40 days
期刊介绍: The ISPRS Journal of Photogrammetry and Remote Sensing (P&RS) serves as the official journal of the International Society for Photogrammetry and Remote Sensing (ISPRS). It acts as a platform for scientists and professionals worldwide who are involved in various disciplines that utilize photogrammetry, remote sensing, spatial information systems, computer vision, and related fields. The journal aims to facilitate communication and dissemination of advancements in these disciplines, while also acting as a comprehensive source of reference and archive. P&RS endeavors to publish high-quality, peer-reviewed research papers that are preferably original and have not been published before. These papers can cover scientific/research, technological development, or application/practical aspects. Additionally, the journal welcomes papers that are based on presentations from ISPRS meetings, as long as they are considered significant contributions to the aforementioned fields. In particular, P&RS encourages the submission of papers that are of broad scientific interest, showcase innovative applications (especially in emerging fields), have an interdisciplinary focus, discuss topics that have received limited attention in P&RS or related journals, or explore new directions in scientific or professional realms. It is preferred that theoretical papers include practical applications, while papers focusing on systems and applications should include a theoretical background.
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