Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Method for extracting container loading bridge based on remote sensing interpretation analysis technology

An analysis technology, container technology, applied in the field of extracting container loading and unloading bridges based on remote sensing interpretation and analysis technology, can solve the problems of inconvenient processing, large amount of calculation, increased amount of calculation, etc., and achieve the effect of improving the accuracy of recognition and improving efficiency

Active Publication Date: 2018-07-06
TRANSPORT PLANNING & RES INST MINIST OF TRANSPORT
View PDF5 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] (1) The actual amount of data processing is still very large in the identification of containers through the edge processing method. Therefore, in the remote sensing image, the containers are processed directly based on the edge because the size of the container is too small. In the process of digitization, The amount of calculation will be very huge, which is not convenient for subsequent processing;
[0006] (2) The features of the container loading and unloading bridge are not effectively combined, that is, in the process of identification, a single basic feature is often used, and then another feature is used for verification, and this method is extremely efficient. Low, this is because in the process of extracting the remote sensing suitcase, repeated calculations will lead to a geometric increase in the amount of calculations, and how to comprehensively utilize the identification features is a problem that needs to be solved at present

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
  • Method for extracting container loading bridge based on remote sensing interpretation analysis technology
  • Method for extracting container loading bridge based on remote sensing interpretation analysis technology
  • Method for extracting container loading bridge based on remote sensing interpretation analysis technology

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0052] Such as figure 1 As shown, the present invention provides a method for extracting container loading and unloading bridges based on remote sensing interpretation analysis technology, including the following steps:

[0053] Step S100 , perform target detection based on texture features, construct a background model through LBP texture grayscale invariance, extract a foreground probability map from the background model, and perform a difference to obtain an initial target model.

[0054] The specific algorithm for constructing the background model with LBP texture features is as follows:

[0055] Step S101, texture feature assignment, set the joint distribution T=t(g c , g 0 ,..., g P-1 ), where the joint distribution T is the texture feature of the image, g c Gray value of the center of the local domain, g P (P=0, 1, . . . , P−1) corresponds to the gray value of P equally divided points on a circle with a radius R.

[0056] In the above, for different (P, R) combina...

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 method for extracting a container loading bridge based on a remote sensing interpretation analysis technology. The method comprises the steps of: firstly, constructing a background model by using LBP texture gray scale invariance; secondly, dividing an image into a plurality of non-overlapping regions according to different characteristics on an initial target model; thirdly, performing topologization and extraction on a remote sensing image, and conducting normalization processing to obtain a shape template; and finally, performing compensation on the shape templateaccording to texture characteristics to identify the container loading bridge. The method is based on fuzzy selection and carries out digitization at the same time, edge information can be maintainedduring the digitization process, the subsequent processing is facilitated, the remote sensing image is divided into the plurality of parts through image segmentation in the processing process, the remote sensing image can be coordinated through normalization processing after compensation of the shape template and the texture characteristics, tremendous amount of computing can be avoided, and the data processing efficiency and identification accuracy rate can be improved.

Description

technical field [0001] The invention relates to the technical field of remote sensing identification, in particular to a method for extracting container loading and unloading bridges based on remote sensing interpretation and analysis technology. Background technique [0002] As an important part of maritime transportation, ports have received more and more attention under the general trend of economic globalization, and the role of containers in ocean transportation is very obvious. The so-called container is a component tool that can be loaded with packaged or unpackaged goods for transportation, and is convenient for loading and unloading with mechanical equipment. In operation, the container loading and unloading bridge is a very important loading tool, which belongs to a new type of auxiliary boarding equipment on the modern industrial loading and unloading platform. [0003] In remote sensing monitoring, it is a current trend to apply remote sensing images to the dete...

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): G06T7/194G06T7/11G06T7/529G06T5/00
CPCG06T7/11G06T7/194G06T7/529G06T2207/10032G06T5/80
Inventor 齐越聂向军董敏刘宏郝军黄俊
Owner TRANSPORT PLANNING & RES INST MINIST OF TRANSPORT
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products