基于多源影像的探测器月面着陆点定位与精度验证

探测器月面着陆点高精度定位是探测器着陆的重要技术环节，也是地外天体探测器开展各项工作的重要前提.本文基于多源图像数据，利用图像特征匹配和多重覆盖影像定位技术，设计了探测器月面着陆点高精度定位方法，并使用嫦娥三号任务相关影像进行了定位实验与精度验证.在高精度图像匹配和几何变换的基础上，降落相机序列影像间的匹配精度达到子像素，LRO NAC影像与中分辨率降落图像的匹配精度优于1pixel，最终解算的嫦娥三号探测器着陆点坐标为（44.1196°N，19.5148°W）.本文方法综合利用了多源图像数据，不完全依靠着陆区DOM底图的制图精度，是对影像与DOM底图配准定位结果的进一步精化，在未来的月球着陆探测任务中具有应用价值. 

Location and Accuracy Validation of Lunar Landing Point Based on Multi-source Images

High-precision positioning of the landing site is a critical step in the mission and an important prerequisite for surface operations of the lander and rover. In this paper, a high-precision positioning method of the landing site was designed based on image feature matching and multiple image localization methods. And the positioning experiment and accuracy validation were carried out in Chang'E-3 landing site. On the basis of high-precision image matching and geometric transformation, the matching precision between the sequent descent images reached sub-pixel, and the matching accuracy between LRO NAC image and medium-resolution descent image was better than 1 pixel. The landing position was calculated to be (44.1196°N, 19.5148°W). This method comprehensively utilized multi-source images, and didn't entirely depend on the mapping accuracy of the landing base map. It was a further refinement of the matching results between the images and landing base map. So, this high-precision positioning method can be applied in future deep space exploration missions.