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基于高性能计算平台的天宫一号遥感数据地面预处理系统
引用本文:张万峰,赵灵军,刘志文. 基于高性能计算平台的天宫一号遥感数据地面预处理系统[J]. 遥感学报, 2014, 18(Z1): 42-48
作者姓名:张万峰  赵灵军  刘志文
作者单位:中国科学院 遥感与数字地球研究所, 北京 100094;中国科学院大学, 北京 100049;中国科学院 遥感与数字地球研究所, 北京 100094;中国科学院大学, 北京 100049;中国科学院 空间应用工程与技术中心, 北京 100094
基金项目:载人航天工程天宫一号民用试应用项目
摘    要:针对天宫一号传感器特点,设计并实现了基于高性能并行集群环境的遥感数据地面预处理系统,可完成对高并发、海量遥感数据处理任务的快速、高效处理.该系统可通过传感器的星上定标参数完成系统辐射校正、系统几何校正等处理过程,生产出高光谱热红外谱段和高光谱数据的1级、2级遥感产品.同时,在数据产品封装与输出分系统中,采用了较为通用的GeoTiff与HDF作为产品的主要输出格式,可满足领域内多种用户的需求.

关 键 词:高性能计算平台  系统辐射校正  系统几何校正  地面预处理系统  数据产品归档与分发
收稿时间:2014-01-10

Tiangong-1 ground-based remote sensing data preprocessing system for high-performance computing platform
ZHANG Wanfeng,ZHAO Lingjun and LIU Zhiwen. Tiangong-1 ground-based remote sensing data preprocessing system for high-performance computing platform[J]. Journal of Remote Sensing, 2014, 18(Z1): 42-48
Authors:ZHANG Wanfeng  ZHAO Lingjun  LIU Zhiwen
Affiliation:Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100194, China;University of Chinese Academy of Sciences, Beijing 100049, China;Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100194, China;University of Chinese Academy of Sciences, Beijing 100049, China;Technology and Engineering Center for Space Utilization, Chinese Academy of Sciences, Beijing 100194, China
Abstract:Increasing access to means of remote sensing data, ground processing system need develop for specific types of remote sensing data. In this paper, According to Tiangong-1 sensor characteristics, high-performance parallel cluster environment based on ground-based remote sensing data preprocessing system is designed and implemented. It has quickly and efficiently handled abilities of massive remote sensing data processing tasks. The system completes the system radiometric calibration, geometric correction processing system to produce high spectral and thermal infrared spectrum of one, two remote sensing products. In the subsystem of remote sensing data product package and output, GeoTiff and HDF were chosen as the more general data format to meet many user requirements from local areas.
Keywords:high-performance computing platform  data archiving and distribution  ground-based preprocessing system
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