Fast raster-vector conversion method of remote sensing images

A remote sensing image and raster technology, applied in the field of raster to vector, can solve the problems of slow conversion speed, inability to fully utilize multi-core processors or cluster performance, etc., achieve the effect of increasing conversion speed, reducing calculation amount, and accelerating conversion speed

Inactive Publication Date: 2018-11-23
GEOVIS CO LTD
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the existing scheme directly uses the method in GDAL, which has the following disadvantages: only a single thread can be used for conversion, and the performance of multi-core processors or clusters

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
  • Fast raster-vector conversion method of remote sensing images

Examples

Experimental program
Comparison scheme
Effect test

Example Embodiment

[0018] The present invention will be further described in detail below with reference to the drawings and specific embodiments.

[0019] Such as figure 1 A fast raster-to-vector method for remote sensing images is shown, that is, by starting multiple nodes to process the image to be converted, the master node is responsible for splitting the image, creating processing tasks, starting slave nodes and sending tasks to The slave node performs processing, and the slave node returns the processed result to the master node for consolidation.

[0020] The overall steps are as follows:

[0021] Step 1. Start the master node, split the image to be processed, and divide the image into small pieces of 1024×1024 pixels, and only need to record the split information, without the need for real splitting;

[0022] Step 2: Create processing tasks with the split image information, and each task corresponds to a piece of image data;

[0023] Step 3: The master node starts the child nodes and sends task...

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 fast raster-vector conversion method of remote sensing images. The method comprises the steps of: processing images to be converted by starting a plurality of nodes, whereina master node is responsible for splitting images; creating processing tasks, and starting slave nodes and sending the tasks to the slave nodes for processing; and the slave nodes return the processedresults to the master nodes for merging. According to the fast raster-vector conversion method of remote sensing images, multiple processing tasks are started, remote sensing image blocks are sent toeach processing task, the merge is performed after the processing is completed, and the problem of calculating the shell and the hole can be solved from the topological structure when merging, thereby greatly reducing the calculation amount, improving the calculation speed, and increasing the processing speed.

Description

technical field [0001] The invention relates to a grid-to-vector method, in particular to a fast grid-to-vector method for remote sensing images. Background technique [0002] The raster vectorization of remote sensing images is widely used in the post-processing of algorithms for extracting roads, vegetation, water bodies, etc. from remote sensing images. The related algorithms in GDAL scan the images line by line, and classify pixels with the same color value into one category. Extract the boundaries of the same type to obtain an array of boundaries, and then traverse the boundary array to search and merge shells and holes. The calculation amount is very large and cannot be parallelized. The calculation amount increases exponentially with the increase of the number of boundaries. When the number of boundaries is large, the calculation speed will be very slow. [0003] The current processor single-core frequency cannot be increased, mainly to increase the number of process...

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
IPC IPC(8): G06F17/30H04L29/08
CPCH04L67/10
Inventor 唐德可李振钊
Owner GEOVIS CO LTD
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