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Design and Implementation of High Bit Rate Satellite Image Data Ingest and Processing System

机译:高比特率卫星图像数据摄取和处理系统的设计与实现

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Remote Sensing Satellites orbit around the Earth around 600-900 kilometers in sun synchronous polar orbit. Each satellite transmits the image data in X-band and the data reception is carried out through a parabolic antenna along with the associated systems. The entire data acquisition system is complex and expensive as it has to meet the requirements of the fast orbiting remote sensing satellites. During the visibility of the satellite, the data is acquired at the acquisition systems, frame synchronized band separated and displayed in the monitor in real-time. The authors of this Paper used the concept of archiving the RAW data directly to Redundant Array of Inexpensive Disks (RAID) in Real-time and also to provide on the fly Sub-sampled video image display using generic PC Based Linux Servers available in the industry. Handling of high speed image data from satellite involves de-randomization, decryption and decompression in real time. Innovative multiplexing techniques are used for digital correlation to increase the operating speed. Effective system design strategies rely on appropriate matching of systems hardware, software and environment. This needs the proper evaluation of the system environment. Schedulers for a real-time system are concerned with maximizing resource utilization subject to meeting system timing constraints. Priority-driven presumptive schedulers used in real-time systems require predictable cache performance. The design involved shared memory concepts, cache memory handling, Image data handling and transfer to RAID while each system handles the data of around 500 GB per day. The paper deals with a generalized design of such system using a common platform as a part of Indian Remote Sensing Satellite Program and supplied to many users around the world. These systems are working error free all over.
机译:遥感卫星在地球周围轨道轨道约为600-900公里在太阳同步极性轨道上。每个卫星在X波段中发送图像数据,并且通过抛物线天线与相关系统一起执行数据接收。整个数据采集系统复杂且昂贵,因为它必须满足快速轨道遥感卫星的要求。在卫星的可见性期间,在采集系统中获取数据,帧同步频带实时分离并在监视器中显示。本文的作者使用了将原始数据归入的概念直接归入廉价磁盘(RAID)的冗余阵列,并且还可以使用业界中可用的基于通用PC的Linux服务器提供飞行子采样的视频图像显示。处理来自卫星的高速图像数据涉及实时解密,解密和解压缩。创新的多路复用技术用于数字相关性以增加操作速度。有效的系统设计策略依赖于系统硬件,软件和环境的适当匹配。这需要对系统环境进行适当的评估。实时系统的调度员涉及可以通过满足系统时序约束来最大限度地提高资源利用率。实时系统中使用的优先级驱动的推定调度程序需要可预测的缓存性能。该设计涉及共享内存概念,缓存存储器处理,图像数据处理和传输到RAID,而每个系统每天处理约500 GB的数据。本文涉及使用共同平台作为印度遥感卫星计划的一部分的这种系统的广义设计,并提供给全球许多用户。这些系统都是全部工作的错误。

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