基于LROC NAC影像的高分辨率连续DEM数据制作

具有高分辨率和连续表面的DEM数据是获取月球形貌特征并进行数字地形分析的主要数据源。本文选择嫦娥五号候选着陆区中的一个区域作为试验区，首先，基于LROC NAC立体影像、ISIS3和Stereo Pipeline软件生成高分辨率DOM影像及对应DEM数据，并将其与日本SELENE数据进行对比；然后，利用反距离权重、径向基函数和经验贝叶斯克里金3种插值方法对DEM数据的空洞区域进行修复，并对不同修复方法进行交叉验证分析。结果表明：生成的DOM和DEM分辨率约3.5 m，明显比7.4 m分辨率的日本SELENE数据清晰，并具有更强的地形表达能力；径向基函数插值法的空洞修复效果最好，交叉验证均方根误差为0.26 m。本文对准确获取月球形貌特征、探测器选址等具有一定作用，并能够为其他区域的高分辨率连续DEM数据生成提供参考。

Exploration on the production of high-resolution continuous DEM data based on LROC NAC images

DEM data with high-resolution and continuous surface is the main data source for obtaining lunar morphological features and performing digital terrain analysis. A region of Chang'E-5 candidate landing region is selected as the experimental area. First, high-resolution DEM data and corresponding DOM images are generated based on LROC NAC stereo images, ISIS3 and Stereo Pipeline software, and compared with Japanese SELENE (KAGUYA) TC images; Then, Inverse Distance Weighting, Radial Basis Function and Empirical Bayesian Kriging are used to interpolate the hollow areas of DEM data and cross validation analysis was performed for three different interpolation methods. The results show that the resolution of DEM and DOM generated in this study is about 3.5 m, which is obviously clearer than that of 7.4 m resolution Japanese TC images, and has stronger terrain expression ability; Radial Basis Function interpolation is the best method for hollow interpolation, and the mean square error of cross-validation is 0.26 m. The study has a certain role in accurately acquiring lunar morphological features and locating detectors, and provides a reference for high resolution continuous DEM data generation in other regions.