首页> 外文期刊>Journal of geophysical research. Planets >Mapping the Apollo 17 landing site area based on Lunar Reconnaissance Orbiter Camera images and Apollo surface photography
【24h】

Mapping the Apollo 17 landing site area based on Lunar Reconnaissance Orbiter Camera images and Apollo surface photography

机译:根据“月球侦察轨道飞行器摄像机”图像和阿波罗表面摄影来绘制阿波罗17号登陆地点区域

获取原文
获取原文并翻译 | 示例
       

摘要

Newly acquired high resolution Lunar Reconnaissance Orbiter Camera (LROC) images allow accurate determination of the coordinates of Apollo hardware, sampling stations, and photographic viewpoints. In particular, the positions from where the Apollo 17 astronauts recorded panoramic image series, at the so-called "traverse stations", were precisely determined for traverse path reconstruction. We analyzed observations made in Apollo surface photography as well as orthorectified orbital images (0.5m/pixel) and Digital Terrain Models (DTMs) (1.5m/pixel and 100m/pixel) derived from LROC Narrow Angle Camera (NAC) and Wide Angle Camera (WAC) images. Key features captured in the Apollo panoramic sequences were identified in LROC NAC orthoimages. Angular directions of these features were measured in the panoramic images and fitted to the NAC orthoimage by applying least squares techniques. As a result, we obtained the surface panoramic camera positions to within 50cm. At the same time, the camera orientations, North azimuth angles and distances to nearby features of interest were also determined. Here, initial results are shown for traverse station 1 (northwest of Steno Crater) as well as the Apollo Lunar Surface Experiment Package (ALSEP) area.
机译:新近获得的高分辨率月球侦察轨道相机(LROC)图像可准确确定阿波罗硬件,采样站和摄影视点的坐标。特别地,精确地确定了所谓的“横越站”处的阿波罗17号宇航员记录全景图像序列的位置,以进行横越路径重建。我们分析了从阿波罗表面摄影以及从LROC窄角相机(NAC)和广角相机获得的正交校正的轨道图像(0.5m /像素)和数字地形模型(DTM)(1.5m /像素和100m /像素)所做的观察(WAC)图像。在LROC NAC正射影像中确定了在阿波罗全景序列中捕获的关键特征。这些特征的角方向在全景图像中进行测量,并通过应用最小二乘技术拟合到NAC正射图像。结果,我们获得了地面全景相机在50厘米以内的位置。同时,还确定了摄像机的方向,北方位角和到附近感兴趣特征的距离。在这里,显示了第1测站(Steno Crater的西北方)以及阿波罗月球表面实验包(ALSEP)区域的初始结果。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号