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A rapid slicing method and system for a multi-scale mass remote sensing image

A remote sensing image and multi-scale technology, applied in the field of visual processing, can solve problems such as publishing and visualization difficulties, and achieve the effects of improving user experience, enhancing throughput, and high availability

Pending Publication Date: 2019-06-25
湖北省基础地理信息中心(湖北省北斗卫星导航应用技术研究院)
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Problems solved by technology

[0004] Therefore, it is necessary to design a system that adapts to the massive growth trend of remote sensing data, meets the visualization of massive remote sensing data, and requires efficient and reliable storage and sharing for the problems of efficient data storage and fast slicing, publishing, and visualization of massive remote sensing data. Architecture, establish a multi-scale massive remote sensing image rapid slicing, storage, visualization and service publishing system

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  • A rapid slicing method and system for a multi-scale mass remote sensing image

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Embodiment Construction

[0032] The principles and features of the present invention are described below in conjunction with the accompanying drawings, and the examples given are only used to explain the present invention, and are not intended to limit the scope of the present invention.

[0033] The present invention proposes a fast slicing method of multi-scale massive remote sensing images, including the following steps:

[0034] S1 receives and stores the image data file; by receiving the image data file imported by the user to the cloud storage system.

[0035] S2 divides the image data into blocks, performs tile segmentation and layering of the image, specifically includes:

[0036] According to the image imported by the user to the cloud disk, the corresponding image data file is read;

[0037] The image data is entered into the spark memory cloud computing platform, and image tiles are segmented and layered.

[0038] S3 builds a pyramid fast index system for image data based on the calculati...

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Abstract

The invention discloses a rapid slicing method and system for a multi-scale mass remote sensing image. The method comprises the following steps: S1, receiving and storing an image data file; S2, carrying out task partitioning calculation on the image data, and carrying out tile segmentation and layering on the image data; And S3, constructing a pyramid rapid indexing system of the image data according to the calculation result in the step S2. According to the invention, the multi-scale image data is subjected to slicing, storage and service publication by establishing a rapid indexing mechanism; and rapid query and application of the image data are realized, so that the problems of time consumption, bottleneck in IO efficiency, unrecoverable program processing abnormity and inconvenience in service migration when the large image data is loaded from the disk in the traditional mode are solved, the data processing efficiency and throughput are enhanced, and the user experience and the actual application value of the image are improved.

Description

technical field [0001] The invention relates to visual processing, in particular to a fast slicing method and system for multi-scale massive remote sensing images. Background technique [0002] With the development of computer technology and network, geographic information system came into being, which caused a major change in GIS technology. The biggest advantage of GIS lies in the current situation of its spatial database, and with the development of GIS technology, the advantage of this feature becomes more prominent. Remote sensing images are one of the important data sources of geographic information systems, through which remote sensing images can quickly and continuously capture large-area, continuous and comprehensive geographic information. Space remote sensing technology can provide periodic observation results and provide more dynamic information for GIS. The remote sensing satellite data application industry supports my country's technological development and i...

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Application Information

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IPC IPC(8): G06F16/13G06F16/16
Inventor 段志强沈凤娇陈金文余晓敏余磊段红伟杜新黄冠宇陈晓茜
Owner 湖北省基础地理信息中心(湖北省北斗卫星导航应用技术研究院)
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