Large-scale remote sensing image block distribution method

A remote sensing image and distribution method technology, which is applied in the field of remote sensing image processing, can solve problems such as low efficiency, and achieve the effect of improving block efficiency and data acquisition efficiency

Pending Publication Date: 2020-08-18
NO 54 INST OF CHINA ELECTRONICS SCI & TECH GRP
View PDF9 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, the block method and parallel processing architecture of the existing large-scale remote sensing images still have the problem of low efficiency, and there is room for further improvement

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Large-scale remote sensing image block distribution method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0025] The present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments.

[0026] A large-scale remote sensing image block allocation method, which includes the following steps:

[0027] Step 1. Read metadata information of large remote sensing images, including image width, height, band number, value type, and projection parameter information;

[0028] Step 2, input image block parameters, including block width, block height, overlapping area width;

[0029] Step 3, according to the image metadata information and the image block parameters, calculate the block mode of the image, and obtain the serial number and the start and end row and column numbers of each block;

[0030] Step 4, read the entire remote sensing image data into the memory;

[0031] Step 5, specify a port number, build a TCP server, and wait for the connection from the client;

[0032] Step 6, for each connected client, match a block sequence num...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a large-scale remote sensing image block distribution method, and belongs to the field of remote sensing image processing. The method comprises the following steps: reading metadata information of a large remote sensing image; inputting image blocking parameters; performing logic partitioning to obtain a plurality of blocking areas and start and stop row and column numbersof each blocking area; reading data of the whole remote sensing image into a memory; assigning a port number, constructing a TCP server, and waiting for the connection of the client; for each connected client, taking out a data area corresponding to the current block from the memory according to a blocking sequence, and sending current block data to the client; and after all the data blocks are sent completely, closing the TCP server. According to the method, only the data is logically partitioned in the memory, and the partitioned data is not stored in the hard disk, so that the blocking efficiency of the data can be greatly improved.

Description

technical field [0001] The invention belongs to the technical field of remote sensing image processing, and in particular relates to a large remote sensing image block allocation method. Background technique [0002] In recent years, with the rapid development of earth observation technology centered on satellite remote sensing, the resolution of images obtained by remote sensing earth observation has become higher and higher, and sub-meter earth observation has been achieved so far. The data volume of high-resolution remote sensing images is usually large, and a single remote sensing image often reaches tens of GB, which brings great challenges to data processing. [0003] In the prior art, for fast processing of large-scale remote sensing images, the images are often divided into blocks first, and then processed in parallel by multiple machines. Therefore, the optimal block strategy and parallel processing architecture of remote sensing images have an important impact on ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00H04L29/06H04L29/08
CPCH04L69/163H04L67/141G06V20/13H04L67/01
Inventor 陈金勇孙康李方方王敏单子力王士成帅通
Owner NO 54 INST OF CHINA ELECTRONICS SCI & TECH GRP
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products