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      With the development of server technology, network technology and storage technology, the previous remote sensing image processing systems have become obsolete in terms of hardware and software performance, and cannot meet the requirements of current and future rapid processing development of remote sensing satellite data.
The high-performance remote sensing image processing solution adopts new software and hardware technologies based on multi-core processors, high-speed networks, high-speed storage, efficient file systems, scheduling systems, and workflow management systems. It has good scalability in processing performance and processing functions, and promotes the development of new generation multi-satellite multi-sensor universal high-performance satellite data processing products.
      Main Features
      ●Adopting parallel processing algorithms and workstation parallel mechanisms greatly saves time required for data quality evaluation and thematic product production.
      ●Adopting JBoss/PBS method for unified management and scheduling of task orders.
      ●Suitable for large station network systems within LAN.
      ●Solving the artificial interaction problem between Linux workstations and Windows clients in image processing.
      ●Providing hardware and software monitoring status within LAN, real-time hardware and software status can be obtained.
      ●Various operations provide user-visible result reports. 
      Main Functions
      ●Image data quality monitoring: For different satellites and sensors, integrity and consistency quality evaluation of optical images, hyperspectral images, infrared images, and radar data.
      ●Thematic product production: Providing radiance, land surface reflectance, land surface temperature inversion, vegetation index, oil spill detection and sea ice detection thematic product production tools for different satellites and sensors.
      ●Optical image parallel processing algorithm library: Providing image mosaicking, image fusion and other parallel processing algorithm libraries for optical images.
      ●Hyperspectral data parallel processing algorithm library: Providing atmospheric correction, spectral analysis and other parallel processing algorithm libraries for hyperspectral data.
      ●Radar data parallel processing algorithm library: Providing basic processing, geometric correction, interferometry, polarization analysis and other parallel processing algorithm libraries for radar data. 

                      Data Quality Trend Analysis (Change Image) 

                                                                                            Query and Retrieval
      Typical Cases
      ●Data Quality Monitoring Subsystem Data Quality Evaluation Subsystem of the National Receiving Station Network Construction Project for Land Observation Satellite Data
      ●……