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<\/p>\nOn March 4th, according to Nature Sensors, research teams including the Shanghai Institute of Technology and Physics at the Chinese Academy of Sciences recently established an intelligent reflection framework based on residual convolutional neural network based on the Moon\u2018s chemical composition based on the first lunar back sample experimental data obtained from the Chang\u2018e 6 mission, combined with high-resolution visible near-infrared multi-band spectroscopic imaging data from the Moon\u2018s orbit, to construct the world\u2019s first high-precision map of the distribution of major lunar oxide content globally, combining the ground values of the lunar back.<\/p>\n
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It is known that this study addressed the difficult problem of long-standing lack of field data constraints on the chemical composition of the moon\u2018s back side, revealing the characteristics of material exposure deep in the moon\u2018s Antarctic-Aiken Basin and the formation patterns of the moon\u2018s back side. It provides high-precision quantitative scientific support for the deep analysis of the moon\u2018s geological evolutionary history and guiding the choice of landing points for subsequent moon exploration projects.<\/p>\n
The data show that analyzing the global distribution characteristics of the chemical elements on the Moon\u2018s surface is a core way to reveal the structure of the Moon\u2018s internal mantle, magma evolution processes, and geological history, which has important scientific significance for understanding the formation and development of the Earth-Moon system. Previously, remote sensing and mapping studies of the abundance of Moon\u2018s surface elements relied mainly on the real-test data from the Moon\u2018s near-Earth side sampling return mission for calibration, resulting in the Moon\u2018s back side, which accounts for nearly half of the total surface area of the Moon, being in a \u201cobservational blind spot\u201d for a long time. Due to the lack of field sampling \u201ctrue\u201d constraints, the existing remote sensing regression model has large deviations when dealing with the complex terrain and special mineral composition of the Moon\u2018s back side, especially the Antarctic-Eichen Basin, which is the most geological feature rich on the Moon. Key scientific questions such as its deep material composition and crust evolution processes have long lacked accurate quantitative data support.<\/p>\n
To this end, the aforementioned research team combined multidisciplinary efforts to combine the \u201ctrue value of the lunar surface\u201d of Chang\u2018e 6\u2018s lunar reverse measurement with high-resolution visible near-infrared multiband spectral imaging data from the lunar orbit, and embedded a residual convolutional neural network reversal model. Based on model fine-tuning strategies, the research team accurately captured the highly non-linear relationship between spectral data and element content under limited sample conditions, effectively solving problems such as overfitting and insufficient robustness of traditional models, greatly improving the accuracy of global-scale oxide reversals.<\/p>\n
In addition, the research team further relied on the \u201cAI + Remote Sensing\u201d technology route to precisely reconstruct the global distribution of iron, titanium, aluminum, magnesium, calcium, and silicon as well as the magnesium index of the six major element oxides, clearly delineating the element distribution characteristics of the three major geochemical regions on the Moon\u2018s surface\u2014the Moon Sea, highlands, and Antarctic-Aiken Basin. This result quantitatively revealed for the first time that the exposure ratio of magnesium slant and magnesium sheaths was significantly higher in the Moon\u2018s rear highlands than in the near-Earth side, providing new experimental evidence for the North-South Hemisphere Asymmetry Hypothesis of Moon\u2018s magma ocean crystallization differentiation, and precisely delineating the boundary between the Antarctic-Aiken Basin magnesium phosphorus ring and iron anomaly zone, confirming that the Antarctic-Aiken Basin collision event excavated and exposed a wider range of deep magnesium materials.<\/p>\n
It is understood that this study for the first time incorporated the data of real field measurements on the back of the Moon into the global chemical map, filling the key data gaps in geological research on the back of the Moon, deepening human understanding of scientific problems such as the structure of the Moon\u2018s mantle, the divergence of North and South Hemisphere evolution, and the formation and evolution of the Antarctic-Aiken Basin. It also provided high-precision quantitative chemical basis for subsequent lunar landing point selection, lunar resource exploration, and deep-space exploration mission planning, laying a solid scientific foundation for the continued advancement of our Moon exploration projects. (Qingyun)<\/p>\n","protected":false},"excerpt":{"rendered":"
On March 4th, according to Nature Sensors, research teams including the Shanghai Institute of Technology and Physics at the Chinese Academy of Sciences recently established an intelligent reflection framework based… <\/p>\n","protected":false},"author":2,"featured_media":8175,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[262,249],"tags":[378,4413,4412,1393,3104],"views":59,"_links":{"self":[{"href":"http:\/\/forefrontnews.cn\/index.php?rest_route=\/wp\/v2\/posts\/8174"}],"collection":[{"href":"http:\/\/forefrontnews.cn\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/forefrontnews.cn\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/forefrontnews.cn\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"http:\/\/forefrontnews.cn\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=8174"}],"version-history":[{"count":1,"href":"http:\/\/forefrontnews.cn\/index.php?rest_route=\/wp\/v2\/posts\/8174\/revisions"}],"predecessor-version":[{"id":8176,"href":"http:\/\/forefrontnews.cn\/index.php?rest_route=\/wp\/v2\/posts\/8174\/revisions\/8176"}],"wp:featuredmedia":[{"embeddable":true,"href":"http:\/\/forefrontnews.cn\/index.php?rest_route=\/wp\/v2\/media\/8175"}],"wp:attachment":[{"href":"http:\/\/forefrontnews.cn\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=8174"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/forefrontnews.cn\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=8174"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/forefrontnews.cn\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=8174"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}