Abstract
Abstract. China has paid considerable attention to space exploration and made great strides in the field. The first Chinese Mars Exploration Mission will be carried out in 2020. Digital simulation has been proved to be an effective and efficient means for planning and deduction in many fields. Thus, it was introduced for the Mars exploration in this paper and key technologies was researched above three aspects. First of all, complicated time-space benchmark was combed to support the interplanetary simulation. Secondly, the multi-resolution pyramid model and indexing strategy were adopted to preprocess the geographical environment data, which ensured the efficiency of data loading, browsing, and querying. Then, the activity objects were abstracted and modelled based on four aspects, including property, ephemeris, geometry, and behavior. Therefore, a digital simulation system, called Sino-Mars, was developed. The architecture of Sino- Mars consists of five layers, including data collection, data processing, scenario modelling, visualization and application layer. Using the Chinese Mars Exploration Mission slated for 2020 as an example, we demonstrated the capabilities of Sino-Mars for data integration, visualization, process deduction, and auxiliary analysis.
Highlights
Mars, as the most potential planet for life besides the earth in the solar system, has become the focus of deep space exploration in various countries after the moon
We aimed at providing a digital simulation for the Mars exploration
As the support for the surface activities on the Mars, massive geographical data most from Photogrammetry and Remote Sensing were organized using the strategy of multiresolution pyramid model
Summary
As the most potential planet for life besides the earth in the solar system, has become the focus of deep space exploration in various countries after the moon. With the development of computer technology, using digital simulation for planning large-scale space activities like Mars exploration in advance, and expressing and sharing massive Mars science data afterwards has become an effective means and a hot topic It has been a long time since the people studied the earth with the help of digital simulation. Some digital visualization platforms like Google Mars (Google, 2017b), JMARS (ASU, 2017), Moonworld (Wood et al, 2010) and ADVISER ((Head et al, 2005; Huffman et al, 2011) have been developed and could support data representation and collaborative simulation They are often limited to a single planet and lack the capability to simulate the entire process of complex space-based activities, for instance, Mars exploration.
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