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纸质出版日期： 2021-02-07 ，
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李晨帆，姚佩雯，刘翔，陈冰玉，邹鸿博，王彪，张江，李勃，凌宗成，陈圣波.2021.面向中国深空探测任务的行星数据系统的设计与实现.遥感学报，25（2）： 599-613
Li C F，Yao P W，Liu X，Chen B Y，ZOU H B，Wang B，Zhang J，Li B，Ling Z C and Chen S B. 2021. Design and implementation of a planetary data system for Chinese deep space exploration. National Remote Sensing Bulletin， 25（2）：599-613
行星数据系统是归档和发布深空探测任务获得数据的在线平台，也是开展行星学科研究的基础。不同的深空探测任务，包括中国的“嫦娥计划”和“天问系列”，都存在数据格式转换复杂、数据处理不便、专业性强等缺点，使其难以面向公众。为了有效管理、存档和分析这些数据并发挥其应用潜力，本文基于WebGIS三层分布结构，采用面向对象的时空数据模型，设计并开发了山东大学威海行星数据系统（SDU-PDS）。该系统分为网页版和移动版两个版本。网页版是一个能有效存储、管理、分析和发布中国深空探测数据的在线系统；移动版则是一个集行星数据浏览、叠加和探测任务三维可视化于一体的行星可视化系统。SDU-PDS不仅能为科研工作人员提供数据服务和分析功能，还具有为大众普及行星科学知识和提高公众基本科学素养的科普功能。通过对SDU-PDS基本功能进行组合和优化，该系统实现了行星数据融合和挖掘等关键技术，开展了月球地质图绘制和“嫦娥四号”安全着陆区预选等科学任务和研究，从而服务于中国后续的深空探测任务。
The Planetary Data System (PDS) is an online platform where deep space mission data can be archived and released
and it is used as the basis for planetary research. Different deep space exploration missions
including Chinese “Chang ’E project” and the upcoming “Tianwen series
” have disadvantages such as complex data format conversion
inconvenient data processing
and strong professionalism; these issues hinder their application. A planetary data system (named SDU-PDS) is designed and developed in this study to manage and find the aforementioned data. Meanwhile
we attempt to design a data model to archive these planetary data in SDU-PDS.On the basis of the three-layer distribution structure of WebGIS and the object-oriented spatiotemporal data model
SDU-PDS is developed. Specifically
this system is divided into two versions: website or mobile devices. One is an online system
called “web version
” which is based on Web Graphics Library and developed by JavaScript. The other one
called mobile version
is developed on Android system through Unity3D platform. In addition
planetary data standard in this system uses Keyhole Markup Language
and the object-oriented spatiotemporal model is consistent with PDS4.
Three layers of architecture
namely
data
intermediate application
and customer layers
are present in SDU-PDS. Different versions have different data transfer processes and functions in spite of same architecture. The web version can effectively store
publish
manage
and even analyze Chinese deep space exploration data. It provides a convenient data management and processing platform for researchers. The mobile version is for the general public and astrophile that integrates planetary data browsing
stacking
and 3D visualization.
In this study
we made two further attempts in planetary data processing on the basis of functions on SDU-PDS website. The lunar geological map is the first attempt and is mapped out after some sophisticated steps. Various jobs
such as inversing planetary composition
devising geological unit
extracting structural objects
dating lunar basalt unit
stacking layers
and fusing information
are all indispensable. Consequently
exploring a large amount of information in this geological map
such as the lithofacies
lithology
geological structure and ages
and magmatic activity
is possible. Meanwhile
another attempt is to estimate the lunar surficial safety. We can understand the surficial relief on a smaller scale
such as meter scale
through remote sensing images. Then
factors such as terrain and distance are integrated to estimate the safety of the Chang ’E-4 landing zone and even design the rover’s path.
Clearly
SDU-PDS not only can provide data services and analysis functions for scientific researchers but also can popularize knowledge of planetary science to the public to improve basic scientific literacy of citizens. By combining and optimizing the basic functions of SDU-PDS
we realize the mining and fusion of planetary data. In general
the system can meet the application requirements of Chinese deep space exploration missions to a certain extent by conducting scientific studies such as lunar geological mapping and pre-selection of “Chang ’E-4” safe landing areas. However
this planetary data system should be continuously developed and perfected
and the interactivity between two versions should be enhanced to explore the potential of planetary data further.
遥感行星数据系统山东大学威海行星数据系统WebGIS数据融合数据挖掘
remote sensingPlanetary Data SystemSDU-PDSWebGISdata fusiondata mining
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