CE_DeepCraters
收藏DataCite Commons2020-08-25 更新2024-08-17 收录
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https://figshare.com/articles/CE_DeepCraters/12768539
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# DeepCraters Lunar Craters Database 2020-07<br>This is a database of 117240 lunar impact craters larger than about 1 km in diameter. Craters were identified on 120m CE-1, 50m CE-2 DOM and DEM images captured by Chang’E-1 (CE-1) and Chang’E-2 (CE-2) orbiters. And that the formation Systems of new detected craters, 18,996 larger than 8km, are estimated.<br><br>## Method review<br>The database of 117240 lunar impact craters are identified by the trained R-FCN model and the age of craters is estimated by a dual-channel classification model with the semisupervised method. (the details of method can be found in our paper[1]).<br><br><br>## Briefly Description<br>The database contains two comma-delimited table files: `Lunar_Crater_Database_DeepCraters_2020.csv` and `Aged_Lunar_Crater_Database_DeepCraters_2020.csv`. <br><br>> The first table is the detected craters larger than about 1 km in diameter, which contains 117240 craters with 5 common fields in each crater. What needs illustration is that the first 7009 craters contains additional 2 fields `Lat_new` and `Lon_new` because of the inaccuracy of the CE1 dataset. the details of each field are listed below:<br>> - `Flags_data`: 'CE1' or 'CE2' indicats the crater detected from CE-1 or CE-2 data;<br>> - `ID`: the index of craters;<br>> - `Lat`: the latitude of crater center in degree;<br>> - `Lon`: the longitude of crater center in degree;<br>> - `Diam_km`: the diameter of crater in kilometer;<br>> - `Lat_new`: the latitude of the corresponding crater in Robbins Lunar Crater Database[2] in degree;<br>> - `Lon_new`: the longitude of the corresponding crater in Robbins Lunar Crater Database[2] in degree.<br>><br><br>> The second table is the aged craters larger than 8 km in diameter, which contains 18996 craters with 6 fields in each craetr. And the first 5 fields are the same as in the first table, the last field `Age` indicates the system that the crater belongs to.<br>><br>> - `Age`=1: pre-Nectarian System<br>> - `Age`=2: Nectarian System<br>> - `Age`=3: Imbrian System<br>> - `Age`=4: Eratosthenian System <br>> - `Age`=5: Copernican System<br><br><br><br>--------<br><br>## Note<br><br>The diameter of craters detected by DeepCraters is slightly larger than the real size of the craters. <br><br><br><br><br>## Reference<br>[1] Yang C , Zhao H , Bruzzone L , et al. Lunar impact craters identification and age estimation with Chang'E data by deep and transfer learning. [Online]. https://nature-research-under-consideration.nature.com/posts/57165-lunar-impact-craters-identification-and-age-estimation-with-chang-e-data-by-deep-and-transfer-learning.<br><br>[2] 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. Journal of Geophysical Research (Planets),124(4), 871-892(2019).<br>
# DeepCraters月球陨石坑数据库 2020-07<br>本数据库收录了117240个直径约1千米以上的月球撞击坑。所有陨石坑均基于嫦娥一号(CE-1)与嫦娥二号(CE-2)轨道器获取的120米分辨率CE-1、50米分辨率CE-2数字正射影像(DOM)与数字高程模型(DEM)识别得到。此外,本数据库还对18996个直径大于8千米的新发现陨石坑的形成时代进行了估算。<br><br>## 方法综述<br>本数据库中的117240个月球撞击坑均通过训练完成的区域全卷积网络(R-FCN)模型识别得到,而陨石坑的形成时代则通过采用半监督方法的双通道分类模型进行估算。(方法细节可参见文献[1])<br><br><br>## 简要说明<br>本数据库包含两个逗号分隔式表格文件:`Lunar_Crater_Database_DeepCraters_2020.csv` 与 `Aged_Lunar_Crater_Database_DeepCraters_2020.csv`。<br><br>> 第一个表格收录了117240个直径约1千米以上的已识别陨石坑,每个陨石坑条目包含5个通用字段。需说明的是,由于CE-1数据集存在精度限制,前7009个陨石坑额外包含`Lat_new`与`Lon_new`两个字段。各字段的详细说明如下:<br>> - `Flags_data`:取值为'CE1'或'CE2',表示该陨石坑源自CE-1还是CE-2数据集;<br>> - `ID`:陨石坑的索引编号;<br>> - `Lat`:陨石坑中心的纬度(单位:度);<br>> - `Lon`:陨石坑中心的经度(单位:度);<br>> - `Diam_km`:陨石坑的直径(单位:千米);<br>> - `Lat_new`:对应陨石坑在《Robbins月球陨石坑数据库[2]》中的纬度(单位:度);<br>> - `Lon_new`:对应陨石坑在《Robbins月球陨石坑数据库[2]》中的经度(单位:度);<br>><br><br>> 第二个表格收录了18996个直径大于8千米的已估算形成时代的陨石坑,每个陨石坑条目包含6个字段。其中前5个字段与第一个表格完全一致,最后一个字段`Age`用于标识该陨石坑所属的形成时代。<br>><br>> - `Age`=1:前酒海纪(pre-Nectarian System)<br>> - `Age`=2:酒海纪(Nectarian System)<br>> - `Age`=3:雨海纪(Imbrian System)<br>> - `Age`=4:爱拉托逊纪(Eratosthenian System)<br>> - `Age`=5:哥白尼纪(Copernican System)<br>><br><br><br><br>--------<br><br>## 注意事项<br><br>通过DeepCraters方法识别得到的陨石坑直径略大于其实际尺寸。<br><br><br><br>## 参考文献<br>[1] Yang C, Zhao H, Bruzzone L, 等. 基于嫦娥数据与深度学习及迁移学习的月球撞击坑识别与时代估算[EB/OL]. https://nature-research-under-consideration.nature.com/posts/57165-lunar-impact-craters-identification-and-age-estimation-with-chang-e-data-by-deep-and-transfer-learning.<br><br>[2] Robbins S J. 一套新的全球直径1~2千米以上月球撞击坑数据库:1. 撞击坑位置与尺寸、与已发表数据库的对比及全球分析[J]. 地球物理学研究杂志(行星卷), 2019, 124(4): 871-892.
提供机构:
figshare
创建时间:
2020-08-06
搜集汇总
数据集介绍

背景与挑战
背景概述
该数据集是一个月球撞击坑数据库,基于Chang'E-1和Chang'E-2轨道器的图像数据,使用深度学习模型识别了117240个直径大于约1公里的撞击坑,并对其中的18996个直径大于8公里的撞击坑进行了年龄估计(分为五个形成系统)。数据集包含两个CSV文件,分别提供撞击坑的位置、直径和年龄信息,适用于行星地质学和月球研究。
以上内容由遇见数据集搜集并总结生成



