留言板

尊敬的读者、作者、审稿人, 关于本刊的投稿、审稿、编辑和出版的任何问题, 您可以本页添加留言。我们将尽快给您答复。谢谢您的支持!

姓名
邮箱
手机号码
标题
留言内容
验证码

月球阿波罗与嫦娥任务10个典型着陆区撞击坑数据库: 小撞击坑数据库构建与分布规律

刘方超 张立 郭弟均 刘斌 谢彬 吕英波 陈剑 凌宗成

刘方超, 张立, 郭弟均, 刘斌, 谢彬, 吕英波, 陈剑, 凌宗成. 月球阿波罗与嫦娥任务10个典型着陆区撞击坑数据库: 小撞击坑数据库构建与分布规律[J]. 空间科学学报. doi: 10.11728/cjss2026.03.2025-0135
引用本文: 刘方超, 张立, 郭弟均, 刘斌, 谢彬, 吕英波, 陈剑, 凌宗成. 月球阿波罗与嫦娥任务10个典型着陆区撞击坑数据库: 小撞击坑数据库构建与分布规律[J]. 空间科学学报. doi: 10.11728/cjss2026.03.2025-0135
LIU Fangchao, ZHANG Li, GUO Dijun, LIU Bin, XIE Bin, LYU Ying-Bo, CHEN Jian, LING Zongcheng. Impact Crater Database of 10 Landing Regions from Apollo and Chang’E Missions: Construction and Distribution Patterns of Small Impact Crater Databases (in Chinese). Chinese Journal of Space Science, 2026, 46(3): 1-14 doi: 10.11728/cjss2026.03.2025-0135
Citation: LIU Fangchao, ZHANG Li, GUO Dijun, LIU Bin, XIE Bin, LYU Ying-Bo, CHEN Jian, LING Zongcheng. Impact Crater Database of 10 Landing Regions from Apollo and Chang’E Missions: Construction and Distribution Patterns of Small Impact Crater Databases (in Chinese). Chinese Journal of Space Science, 2026, 46(3): 1-14 doi: 10.11728/cjss2026.03.2025-0135

月球阿波罗与嫦娥任务10个典型着陆区撞击坑数据库: 小撞击坑数据库构建与分布规律

doi: 10.11728/cjss2026.03.2025-0135 cstr: 32142.14.cjss.2025-0135
基金项目: 国家重点研发计划项目(2022YFF0711400)和国家自然科学基金项目(42472304)共同资助
详细信息
    作者简介:
    • 刘方超 男, 1992年10月出生于山东省潍坊市, 现为山东大学空间科学与技术学院, 博士研究生, 主要研究方向为行星科学与大数据
    通讯作者:
    • 郭弟均 男, 1988年9月出生于四川省巴中市, 现为中国科学院国家空间科学中心副研究员, 硕士生导师, 主要研究方向为月球与行星地质、行星遥感. E-mail: guodijun@nssc.ac.cn
    • 吕英波 男, 1980年3月出生于山东省莱芜市, 现为山东大学空间科学与技术学院教授, 博士生导师, 主要研究方向为空间科学数据分析、深度学习与数据挖掘、深空资源勘探与利用、空间太阳能利用、材料模拟与工程仿真等相关的科学研究与技术攻关工作. E-mail: lyb@sdu.edu.cn
  • 中图分类号: P691

Impact Crater Database of 10 Landing Regions from Apollo and Chang’E Missions: Construction and Distribution Patterns of Small Impact Crater Databases

  • 摘要: 月球是撞击坑保存最完整的内太阳系天体, 拥有就位探测数据和返回样品的月球典型着陆区是认识撞击事件和撞击改造效应的重要研究对象. 其中小撞击坑对月壤的形成和演化具有重要影响, 但是现有的月球撞击坑数据库对直径<100 m的小尺度撞击坑覆盖不足. 因此, 本文筛选太阳入射角在50°~70°之间的月球高分辨率LROC NAC影像, 制作了覆盖10个着陆区20 km×20 km的镶嵌数据, 利用改进的YOLO11+SAHI深度学习模型对这10个着陆区中直径≥15 m的撞击坑进行自动提取, 经人工校验后建成了含359844条记录的撞击坑数据库. 系统构建了覆盖6个阿波罗任务与4个嫦娥任务共10个典型着陆区、直径≥15 m的撞击坑数据库, 且数据库中的撞击坑数据完整性优于现有研究. 进一步分析小尺寸撞击坑的密度分布与直径–频率分布特征. 本数据集可为月球地质年代标定、撞击通量演化、月表过程研究及样品分析提供高质量数据支持, 并为未来的撞击坑智能识别模型提供训练与验证基础.

     

  • 图  1  YOLO11+SAHI模型的网络结构

    Figure  1.  Architecture Diagram for YOLO11+SAHI Network

    图  2  选取的具有不同地形与不同光照条件的三个区域. GT表示真值, Pred表示预测值. (a)(d)表示反照率较高的高地区域, 整体撞击坑尺寸较小, (b)(e)表示反照率较低的月海区域, 撞击坑尺度为中等大小, (c)(f)表示反照率较低的月海区域, 存在一些大尺度的撞击坑

    Figure  2.  Schematic images with different illumination and terrain character. (a) (d) Represent high-albedo elevated regions with generally smaller crater sizes. (b) (e) Represent low-albedo lunar mare regions with medium-sized impact craters. (c) (f) Represent low-albedo lunar mare regions containing some large-scale impact craters

    图  3  10个着陆区的撞击坑标记 (绿色线表示研究区包含多个地质单元时着陆点所在地质单元的边界)

    Figure  3.  Impact crater maps density maps for ten landing regions (The green line indicates the boundary of the geological unit where the landing site is located when the study area contains multiple geological units)

    图  4  10个着陆区中的撞击坑大小频率累计分布 (垂直虚线表示完整性直径的位置)

    Figure  4.  Cumulative frequency distribution of crater sizes across ten landing regions (The vertical dashed lines indicate the positions of the integrity diameter)

    图  5  十个着陆区撞击坑核密度分布

    Figure  5.  Nuclear density distribution of impact craters in ten landing regions

    图  6  10个着陆区的撞击坑直径–频率分布的累积分布. (a) Apollo 11~17的累积分布, (b) Chang’E-3~6的累积分布

    Figure  6.  Cumulative distribution plots of crater diameter versus frequency for ten landing regions. (a) Cumulative plot for Apollo 11~17, (b) Cumulative plot for Chang’E-3~6

    图  7  10个着陆区的撞击坑直径–频率分布的R分布. (a)Apollo 11~17的R分布, (b) Chang’E-3~6的R分布

    Figure  7.  R-plots of crater diameter-frequency distributions for ten landing regions. (a) R-plots for Apollo 11~17, (b) R-plots for Chang’E-3~6

    表  1  构建训练集时选择的9个典型着陆区域的LRO NAC影像信息

    Table  1.   LRO NAC imagery information for the 9 landing regions where sample collection was conducted

    着陆区数据ID分辨率/(m·pixel–1)太阳入射角/ (°)相位角/ (°)
    A11M117338434 R0.47574.4183.35
    A12M162466771 L0.49776.2787.18
    A14M162426054 L0.47776.0777.75
    A15M119829425 L0.50158.2141.45
    A16M177535538 L0.46969.6473.36
    A17M162107606 L0.47873.8677.58
    CE3M1152001999 R1.35756.5655.65
    CE4M1303619844 R1.40062.6467.2
    CE5M1428381550 L+R0.90559.9161.43
    下载: 导出CSV

    表  2  10个着陆区的镶嵌数据集范围

    Table  2.   Mosaic dataset coverage of ten landing regions

    着陆区纬度范围经度范围
    A110°20'40.75" -1°0'15.04"23°8'35.54" -23°48'10.06"
    A12–3°20'32.49"-–2°40'58.20"–23°45'7.82" -–23°5'30.18"
    A14–3°58'30.17" -–3°18'55.88"–17°48'6.48" -–17°8'27.31"
    A1525°48'8.91" -26°27'43.20"3°15'59.58" -4°0'4.21"
    A16–9°18'11.21" -–8°38'36.92"15°10'2.43" -15°50'6.22"
    A1719°51'39.79" -20°31'14.08"30°25'13.16" -31°7'22.93"
    CE343°47'28.51" -44°27'2.80"–19°58'15.06" -–19°3'7.74"
    CE4–45°47'14.84" -–45°7'40.55"177°7'10.91" -178°3'36.00"
    CE542°43'33.08" -43°23'7.37"–52°22'8.01" -–51°27'58.71"
    CE6–41°58'4.97" -–41°18'30.68"–154°25'36.71" -–153°32'39.61"
    下载: 导出CSV

    表  3  使用自然间断点分级法获得的10个着陆区各区间撞击坑直径区间划分以及区间内的桩径数量统计

    Table  3.   Statistics on the number of impact craters in each section of ten landing regions using Jenks natural breaks methods

    着陆区 区间划分及撞击坑分区数量 总数量
    A11 15~26 26~46 46~77 77~130 130~204 204~318 318~560 560~1534 39176
    29397 6163 1810 871 447 288 162 34
    A12 15~21 21~30 30~44 44~63 63~92 92~147 147~386 386~914 20598
    9393 4539 2187 1635 1434 922 447 35
    A14 15~21 21~32 32~49 49~76 76~141 141~272 272~472 472~1629 18564
    10132 4827 2053 851 426 151 60 63
    A15 15~24 24~36 36~54 54~83 83~128 128~206 206~437 437~834 27309
    17678 5486 2219 1034 499 277 104 10
    A16 15~27 27~44 44~72 72~121 121~197 197~320 320~615 615~1667 46889
    34608 8971 2196 712 226 83 48 43
    A17 15~22 22~32 32~50 50~79 79~124 124~201 201~355 355~1553 19066
    11628 4355 1808 525 367 237 102 43
    CE3 15~31 31~57 57~93 93~143 143~208 208~305 305~504 504~1216 31497
    20297 5537 3310 1278 659 269 113 34
    CE4 15~26 26~43 43~68 68~98 98~137 137~247 247~515 515~1263 57234
    33968 12353 6390 2634 1226 444 195 17
    CE5 15~36 36~60 60~96 96~140 140~201 201~297 297~447 447~966 56545
    40650 8036 4980 1930 640 245 54 10
    CE6 15~30 30~47 47~70.8 71~97 97~133 133~198 198~338 338~853 42966
    25458 11226 3018 1608 927 466 194 35
      第一列为着陆区名称, 每个着陆区对应数据的第一行为Jenks划分直径区间(单位: m), 第二行为各区间内统计的撞击坑数量, 最后一竖列为着陆区内撞击坑总数量.
    下载: 导出CSV

    表  4  参与训练的9个着陆点数据集详细信息及模型在其测试集上的准确率

    Table  4.   Detailed information on the nine landing site datasets used in training and the model’s accuracy on their test sets

    着陆区数据ID标签数量精确率召回率F1-score
    A11M117338434 R11780.9640.9330.948
    A12M162466771 L11310.9380.9020.919
    A14M162426054 L132110.9190.958
    A15M119829425 L12820.9930.9390.965
    A16M177535538 L30730.9850.9960.990
    A17M162107606 L182310.9640.982
    CE3M1152001999 R127910.9630.981
    CE4M1303619844 R207850.9930.9150.952
    CE5M1428381550 L+R55980.9880.9290.959
    均值0.9850.940.962
    下载: 导出CSV

    表  5  10个着陆区检测到的撞击坑直径统计信息

    Table  5.   Statistical information on crater diameters detected across ten landing regions

    着陆区最小直径/m最大直径/m完整性直径/m大于完整性直径的数量
    A111522392214389
    A121516092110023
    A14151641217971
    A151537402310808
    A161518172219990
    A17152488209184
    CE31512162116975
    CE41514832131203
    CE5159652626242
    CE6158522819618
    下载: 导出CSV

    表  6  10个着陆点所在地质单元的撞击坑密度和地质背景

    Table  6.   Impact crater density and geological background of the address units where the ten landing sites are located

    着陆区单个地质单元
    面积/km2
    单个地质单元
    撞击坑数量
    撞击坑密度/km–2年龄地质单元地质单元起伏情况
    A114003917697.943.58~3.85 Ga[28]静海平坦
    A124002059551.493.15~3.22 Ga[28]风暴洋月海平原平坦
    A144001856446.413.77~3.85 Ga[28]弗拉·摩罗高地崎岖
    A152472033182.313.28~3.33 Ga[28]靠近盆缘高地的月海平原平坦
    A1640046889117.223.77~3.85 Ga[28]笛卡尔高地崎岖
    A17139956068.783.5~3.85 Ga[28]靠近高地的月海平原相对平坦
    CE33422768580.952~3 Ga[29]虹湾月海平原相对平坦
    CE411713653116.692.95~3.67 Ga[30]被溅射物覆盖的月海平原相对崎岖
    CE540056545141.362.03 Ga[31]月海平原相对平坦
    CE640042966107.422.83 Ga[32]月海平原平坦
    下载: 导出CSV
  • [1] XIAO Z Y, DI K C, XIE M G, et al. Impact flux on the moon[J]. Space: Science & Technology, 2024, 4(4): 0148
    [2] SHYLAJA B S. Determination of lunar surface ages from crater frequency—size distribution[J]. Journal of Earth System Science, 2005, 114(6): 609-612 doi: 10.1007/BF02715944
    [3] CHEN D, HU F, ZHANG L Q, et al. Impact crater recognition methods: a review[J]. Science China Earth Sciences, 2024, 67(6): 1719-1742 doi: 10.1007/s11430-023-1284-9
    [4] MICHAEL G G, NEUKUM G. Planetary surface dating from crater size-frequency distribution measurements: Partial resurfacing events and statistical age uncertainty[J]. Earth and Planetary Science Letters, 2010, 294(3-4): 223-229 doi: 10.1016/j.jpgl.2009.12.041
    [5] ROBBINS S J. A new global database of lunar impact craters >1-2 km: 1. Crater locations and sizes, comparisons with published databases, and global analysis[J]. Journal of Geophysical Research: Planets, 2019, 124(4): 871-892 doi: 10.1029/2018JE005592
    [6] WANG Y R, WU B, XUE H O, et al. An improved global catalog of lunar impact craters (≥1 km) with 3D morphometric information and updates on global crater analysis[J]. Journal of Geophysical Research: Planets, 2021, 126(9): e2020JE006728 doi: 10.1029/2020JE006728
    [7] LA GRASSA R, MARTELLATO E, CREMONESE G, et al. LU5M812TGT: an AI-powered global database of impact craters ≥ 0.4 km on the Moon[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2025, 220: 75-84 doi: 10.1016/j.isprsjprs.2024.11.010
    [8] 赵丹冬. 月球着陆区小型撞击坑智能识别与空间分布特征分析[D]. 长春: 吉林大学, 2022

    ZHAO D D. Intelligent Identification and Spatial Distribution Analysis of Small Craters in Lunar Landing Area[D]. Changchun: Jilin University, 2022
    [9] JIA M N, YUE Z Y, DI K C, et al. A catalogue of impact craters larger than 200 m and surface age analysis in the Chang’E-5 landing area[J]. Earth and Planetary Science Letters, 2020, 541: 116272 doi: 10.1016/j.jpgl.2020.116272
    [10] WANG Y X, NAN J, ZHAO C X, et al. A catalogue of impact craters and surface age analysis in the Chang’E-6 landing area[J]. Remote Sensing, 2024, 16(11): 2014 doi: 10.3390/rs16112014
    [11] XU W Y, CHEN Z L, ZHANG H F, et al. Automatic Martian polar ice cap extraction algorithm for remote sensing data and analysis of their spatiotemporal variation characteristics[J]. Remote Sensing, 2024, 16(7): 1201 doi: 10.3390/rs16071201
    [12] IQBAL W, HIESINGER H, BORISOV D, et al. Geological mapping and chronology of lunar landing sites: Apollo 14[J]. Icarus, 2023, 406: 115732 doi: 10.1016/j.icarus.2023.115732
    [13] IQBAL W, HIESINGER H, VAN DER BOGERT C H. Geological mapping and chronology of lunar landing sites: Apollo 12[J]. Icarus, 2020, 352: 113991 doi: 10.1016/j.icarus.2020.113991
    [14] CADOGAN P H. Automated precision counting of small lunar craters - a broader view[J]. Icarus, 2024, 408: 115796 doi: 10.1016/j.icarus.2023.115796
    [15] DELATTE D M, CRITES S T, GUTTENBERG N, et al. Automated crater detection algorithms from a machine learning perspective in the convolutional neural network era[J]. Advances in Space Research, 2019, 64(8): 1615-1628 doi: 10.1016/j.asr.2019.07.017
    [16] FAIRWEATHER J H, LAGAIN A, SERVIS K, et al. Automatic mapping of small lunar impact craters using LRO-NAC images[J]. Earth and Space Science, 2022, 9(7): e2021EA002177 doi: 10.1029/2021EA002177
    [17] HEAD III J W, FASSETT C I, KADISH S J, et al. Global distribution of large lunar craters: implications for resurfacing and impactor populations[J]. Science, 2010, 329(5998): 1504-1507 doi: 10.1126/science.1195050
    [18] CADOGAN P H. Automated precision counting of very small craters at lunar landing sites[J]. Icarus, 2020, 348: 113822 doi: 10.1016/j.icarus.2020.113822
    [19] YANG C, WANG X L, ZHAO D D, et al. Accurate mapping and evaluation of small impact craters within the lunar landing area[J]. Remote Sensing, 2024, 16(12): 2165 doi: 10.3390/rs16122165
    [20] KHANAM R, HUSSAIN M. YOLOv11: An overview of the Key Architectural Enhancements[OL]. arXiv preprint arXiv: 2410.17725, 2024
    [21] ZHUO S L, BAI H, JIANG L F, et al. SCL-YOLOv11: A Lightweight Object Detection Network for Low-illumination Environments[J]. IEEE Access, 2025, 13: 47653-47662 doi: 10.1109/ACCESS.2025.3550947
    [22] WANG G R, CHEN S Y, HU G, et al. Detection algorithm of abnormal flow state fluid on closed vibrating screen based on improved YOLOv5[J]. Engineering Applications of Artificial Intelligence, 2023, 123: 106272 doi: 10.1016/j.engappai.2023.106272
    [23] NAN J, WANG Y X, DI K C, et al. YOLOv8-LCNET: An Improved YOLOv8 Automatic Crater Detection Algorithm and Application in the Chang’E-6 Landing Area[J]. Sensors, 2025, 25(1): 243 doi: 10.3390/s25010243
    [24] AKYON F C, ALTINUC S O, TEMIZEL A. Slicing aided hyper inference and fine-tuning for small object detection[C]//Proceedings of the 2022 IEEE International Conference on Image Processing (ICIP). Bordeaux: IEEE, 2022: 966-970
    [25] ZHANG H, HAO C Y, SONG W R, et al. Adaptive slicing-aided hyper inference for small object detection in high-resolution remote sensing images[J]. Remote Sensing, 2023, 15(5): 1249 doi: 10.3390/rs15051249
    [26] JI J Z, GUO D J, LIU J Z, et al. The 1: 2, 500, 000-scale geologic map of the global moon[J]. Science Bulletin, 2022, 67(15): 1544-1548 doi: 10.1016/j.scib.2022.05.021
    [27] QIAN Y Q, XIAO L, ZHAO J W, et al. First magnetic and spectroscopic constraints on attenuated space weathering at the Chang’E-5 landing site[J]. Icarus, 2024, 410: 115892 doi: 10.1016/j.icarus.2023.115892
    [28] Meyer C. Lunar Sample Compendium[R]. NASA, 2005
    [29] 李勃, 凌宗成, 张江, 等. 嫦娥三号着陆区月海玄武岩的年龄、成因及地质意义[J]. 岩石学报, 2016, 32(1): 19-28

    LI Bo, LING Zongcheng, ZHANG Jiang, et al. Geochronology, petrogenesis and geological significance of the lunar basalts around CE-3 landing site[J]. Acta Petrologica Sinica, 2016, 32(1): 19-28
    [30] 阳梅萍, 岳宗玉, 邸凯昌, 等. 基于全景相机数据的嫦娥四号着陆区次级坑统计分析[J]. 矿物岩石地球化学通报, 2021, 40(3): 720-729

    YANG Meiping, YUE Zongyu, DI Kaichang, et al. Statistical analysis of secondary craters in the Chang’E-4 landing area based on panoramic camera data[J]. Bulletin of Mineralogy, Petrology and Geochemistry, 2021, 40(3): 720-729
    [31] LI Q L, ZHOU Q, LIU Y, et al. Two-billion-year-old volcanism on the moon from Chang’E -5 basalts[J]. Nature, 2021, 600(7887): 54-58 doi: 10.1038/s41586-021-04100-2
    [32] CUI Z X, YANG Q, ZHANG Y Q, et al. A sample of the Moon’s far side retrieved by Chang’E -6 contains 2.83-billion-year-old basalt[J]. Science, 2024, 386(6728): 1395-1399 doi: 10.1126/science.adt1093
    [33] LIU S C, DU K C, TONG X H, et al. In-situ mapping of iron and titanium with the Visible and Near-infrared Image Spectrometer (VNIS) along the Yutu-2 rover traverse on the far side of the moon[J]. Icarus, 2024, 412: 116003 doi: 10.1016/j.icarus.2024.116003
    [34] QIAO L, XU L Y, YANG Y Z, et al. Cratering records in the Chang’E -5 mare unit: filling the “age gap” of the lunar crater chronology and preparation for its recalibration[J]. Geophysical Research Letters, 2021, 48(22): e2021GL095132 doi: 10.1029/2021GL095132
  • 加载中
图(7) / 表(6)
计量
  • 文章访问数:  337
  • HTML全文浏览量:  71
  • PDF下载量:  75
  • 被引次数: 

    0(来源:Crossref)

    0(来源:其他)

出版历程
  • 收稿日期:  2025-07-31
  • 修回日期:  2026-03-09
  • 网络出版日期:  2026-03-12

目录

    /

    返回文章
    返回