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Data intensive computing-based remote sensing image preprocessing system

A data-intensive, pre-processing technology, applied in image data processing, image data processing, electrical digital data processing, etc., to achieve fast real-time processing, improve computing power, and ensure processing accuracy

Inactive Publication Date: 2016-12-07
北京四维新世纪信息技术有限公司
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Problems solved by technology

At present, more research mainly focuses on improving the performance of relatively independent image processing tools, while there are fewer tools and processes for solving practical application problems in the industry.

Method used

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  • Data intensive computing-based remote sensing image preprocessing system
  • Data intensive computing-based remote sensing image preprocessing system
  • Data intensive computing-based remote sensing image preprocessing system

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Embodiment Construction

[0014] like figure 1 As shown, the remote sensing data preprocessing system of the present invention aims at the production requirements of remote sensing products and the characteristics of large amount of remote sensing data and complex data types, combines hardware resources to shorten the production time of remote sensing data, and uses production nodes and distributed databases to form a high-speed computing environment . Effectively organize multiple models to work together through reasonable allocation of resources. The system pushes the raw data to be processed by the task order. Then call different algorithms for different types of data, integrate a large number of algorithm models in the basic algorithm layer, solve the analysis and calculation of different remote sensing data on specific problems, and realize the unified management and call trigger of algorithm models through workflow. Each production node customizes a reasonable workflow based on order requiremen...

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Abstract

The invention discloses a data intensive computing-based remote sensing image preprocessing system. Around the problem of remote sensing data automation and business preprocessing, various remote sensing algorithm models are organized to form workflow for finishing business processing of remote sensing data, and adaptive workflow is flexibly established for different remote sensing data. A ''5-parallelism and 1-acceleration'' computing system is formed through task parallelism, data parallelism, algorithm parallelism, multi-machine parallelism, multi-thread parallelism and GPU acceleration in combination with a computing environment, so that production time of remote sensing image processing is shortened. According to the data intensive computing-based remote sensing image preprocessing system, a massive scale of various remote sensing data can be processed quickly in real time, so that the production efficiency is greatly improved while the processing precision is ensured.

Description

technical field [0001] The invention relates to the field of remote sensing data processing, in particular to a data-intensive computing remote sensing image preprocessing system. Background technique [0002] With the continuous development of aviation and remote sensing technology, remote sensing data is growing at the rate of terabits (TB), and the speed of data processing is generally slow. The timeliness of the existing manual operation methods can no longer meet the needs of daily scientific research and production activities. Require. Due to the large number of sensors and different algorithms for different types of data processing, the data-intensive computing characteristics of the processing link are becoming more and more prominent. It is necessary to combine algorithms independently of the data processing process to reduce system complexity. Aiming at these problems, remote sensing data processing needs to design a reliable semi-automatic production model and im...

Claims

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Application Information

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IPC IPC(8): G06F17/30G06T1/00G06T7/00
CPCG06F16/51G06F16/50G06T1/00
Inventor 余涛臧文乾刘晓楠黄祥志周珂赵亚萌王栋
Owner 北京四维新世纪信息技术有限公司
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