Signal Compensation of Moon Mineralogy Mapper (M3) Under Low-Illumination Conditions Using a CycleGAN-Based Network

IF 4.7 2区 地球科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Rui Ni;Fei Zhao;Tingyu Meng;Yanlei Du;Pingping Lu;Robert Wang
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Abstract

Lunar south polar regions have attracted considerable scientific interest due to their potential for preservation of water ice and unique mineralogical compositions. As a key scientific payload for surface composition exploration missions, hyperspectral imager faces significant challenges in the lunar polar regions. The primary issue is the low-illumination conditions in these areas, where terrain-induced shadows drastically reduce the signal-to-noise ratio (SNR) of hyperspectral images (HSIs), resulting in limited availability of reliable spectral available for polar region analysis. Previous studies have largely bypassed low-SNR spectra or filtered them out, as there has been no effective method to recover the spectral information under these harsh conditions. To tackle this problem, an effective method based on CycleGAN network is proposed to compensate hyperspectral data obtained by Moon mineralogy mapper (M3) under low-illumination conditions in lunar south polar regions. The network was trained by constructing paired datasets of low and high SNR M3 spectra from the lunar South Pole. The efficacy of the proposed method is validated using real high SNR M3 spectral observations, with the performance of the compensated results comprehensively assessed across three dimensions: structural indicators, spectral indices, and spatial consistency analysis. The strong correlation between the M3 spectral compensation results with Selenological Engineering Explorer (Kaguya) multiband imager data, as well as other sensors' inversion of plagioclase abundance around the Shackleton Crater, underscores the network's potential for mineral exploration. To the best of authors' knowledge, this study represents one of the first efforts to compensate illumination-limited spectra in lunar HSI. It provides an efficient method for enhancing the SNR of M3 spectra in the lunar polar region, offering a reliable tool and novel insights for future mineralogical and water ice studies.
基于cyclegan网络的低光照条件下月球矿物成像仪(M3)信号补偿
月球南极地区由于其保存水冰和独特矿物成分的潜力而引起了相当大的科学兴趣。高光谱成像仪作为月球表面成分探测任务的关键科学有效载荷,在月球极区面临着重大挑战。主要问题是这些地区的低照度条件,地形引起的阴影大大降低了高光谱图像(hsi)的信噪比(SNR),导致可用于极地分析的可靠光谱的可用性有限。由于没有有效的方法来恢复这些恶劣条件下的光谱信息,以往的研究大多是绕过低信噪比光谱或将其过滤掉。针对这一问题,提出了一种基于CycleGAN网络的月球矿物绘图仪(M3)在月球南极低照度条件下的高光谱数据补偿方法。该网络通过构建来自月球南极的低信噪比和高信噪比M3光谱配对数据集进行训练。通过实际高信噪比M3光谱观测验证了该方法的有效性,并从结构指标、光谱指标和空间一致性分析三个维度对补偿结果的性能进行了综合评估。M3光谱补偿结果与硒工程探测器(Kaguya)多波段成像仪数据之间的强相关性,以及其他传感器对沙克尔顿陨石坑周围斜长石丰度的反演,突显了该网络在矿产勘探方面的潜力。据作者所知,这项研究代表了补偿月球HSI中光照受限光谱的第一次努力之一。为提高月球极区M3光谱的信噪比提供了一种有效的方法,为未来的矿物学和水冰研究提供了可靠的工具和新的见解。
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来源期刊
CiteScore
9.30
自引率
10.90%
发文量
563
审稿时长
4.7 months
期刊介绍: The IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing addresses the growing field of applications in Earth observations and remote sensing, and also provides a venue for the rapidly expanding special issues that are being sponsored by the IEEE Geosciences and Remote Sensing Society. The journal draws upon the experience of the highly successful “IEEE Transactions on Geoscience and Remote Sensing” and provide a complementary medium for the wide range of topics in applied earth observations. The ‘Applications’ areas encompasses the societal benefit areas of the Global Earth Observations Systems of Systems (GEOSS) program. Through deliberations over two years, ministers from 50 countries agreed to identify nine areas where Earth observation could positively impact the quality of life and health of their respective countries. Some of these are areas not traditionally addressed in the IEEE context. These include biodiversity, health and climate. Yet it is the skill sets of IEEE members, in areas such as observations, communications, computers, signal processing, standards and ocean engineering, that form the technical underpinnings of GEOSS. Thus, the Journal attracts a broad range of interests that serves both present members in new ways and expands the IEEE visibility into new areas.
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