CE_DeepCraters|月球撞击坑数据集|深空探测数据集

# 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>&gt; 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>&gt; - `Flags_data`: 'CE1' or 'CE2' indicats the crater detected from CE-1 or CE-2 data;<br>&gt; - `ID`: the index of craters;<br>&gt; - `Lat`: the latitude of crater center in degree;<br>&gt; - `Lon`: the longitude of crater center in degree;<br>&gt; - `Diam_km`: the diameter of crater in kilometer;<br>&gt; - `Lat_new`: the latitude of the corresponding crater in Robbins Lunar Crater Database[2] in degree;<br>&gt; - `Lon_new`: the longitude of the corresponding crater in Robbins Lunar Crater Database[2] in degree.<br>&gt;<br><br>&gt; 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>&gt;<br>&gt; - `Age`=1: pre-Nectarian System<br>&gt; - `Age`=2: Nectarian System<br>&gt; - `Age`=3: Imbrian System<br>&gt; - `Age`=4: Eratosthenian System <br>&gt; - `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 &gt;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>

AI搜集汇总

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。