How are Lunar Global High-precision Terrain Images Taken?Jan. 23,2019
In the past 20 years, the United States, ESA, Japan, China, and India have carried out 12 lunar exploration activities successively, which have achieved global and comprehensive exploration of the lunar, acquired the images covering the lunar global with different resolutions and the terrain data.
The CE-1 launched on October 24, 2007 is China’s first lunar probe. Equipped with a three-linear array stereo camera, it acquired stereo images with a total of more than 1 000 tracks of three perspectives, forward view, front view, and back view, on a 200-km-high orbit with a spatial resolution of 120 m and achieved 100% coverage on the lunar global surface.
The CE-2 mission is the second lunar detector in China after the CE-1 mission. It was launched on October 1, 2010. It is a technical leader of China’s lunar soft landing exploration mission. It carried a stereo camera to detect the lunar surface terrain.
Lunar Global High-precision Terrain Reconstruction Based on Chang’E-2 Stereo Images published on Geomatics and Information Science of Wuhan University by LI Chunlai et al., proposed a new method to investigate lunar global terrain processing based on Chang’E-2 (CE-2) stereo images., produce a new global lunar terrain product. The Digital Elevation Model (DEM) data and the Digital Orthophoto Map (DOM) data of CE2TMap2015 both cover the lunar global surface with a coverage rate of 100%.
The CE-2 lunar global terrain products made in this paper have realized seamless mosaic and high-precision absolute positioning in the world, and have obvious advantages over other lunar global terrain products in the aspects of spatial resolution, lunar global coverage, data continuity, absolute positioning accuracy and the detailed representation of geomorphological structures. It can be widely used in various lunar scientific studies and applications, such as lunar terrain and geomorphological type division, crater shape, size and density statistics, age calculation of the lunar surface, lunar global slope and roughness calculation, and ortho-rectification processing of image data.
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