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

Classified identification algorithm of ship targets based on manifold distance characteristic

A target classification and recognition algorithm technology, applied in the field of ship target classification and recognition algorithm based on manifold distance representation, to achieve the effect of improving efficiency, expanding distance and reducing distance

Inactive Publication Date: 2016-04-27
NO 709 RES INST OF CHINA SHIPBUILDING IND CORP
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, in actual application, these existing algorithms lack a comprehensive investigation of the sample size and the measurement of sample similarity.

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
  • Classified identification algorithm of ship targets based on manifold distance characteristic
  • Classified identification algorithm of ship targets based on manifold distance characteristic
  • Classified identification algorithm of ship targets based on manifold distance characteristic

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0030] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0031] Traditional distances such as Euclidean distance cannot accurately express the real differences between samples, such as figure 1 As shown, the distance between samples A and C is much larger than the distance between samples A and B. If it is divided according to the size of the distance on the Euclidean space, then A and B will be classified into the same space, and C will be divided into another space. Obviously, the classification results obtained by this classification method are different from those of the three samples. The actual distribution is the opposite. For this reason, the concept of manifold space is introduced in this study, which aims to reduce the distance between samples in high-density areas and expand the distance between samples in low-density areas, so that the spatial distribution of samples tends to its true distributio...

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 classified identification algorithm of ship targets based on the manifold distance characteristic. According to the algorithm, the similarity measuring standard among target objects is provided on the basis of the distance weight among samples represented by weighted corrected local anti-entropy operators. Compared a traditional distance measuring standard, the similarity measuring standard can reflect the practical space distribution of the objects more effectively; and neighbor samples are preprocessed and screened based on the standard, the classification efficiency of a probability generation model is improved, and the real-time processing requirement for ship target classified identification is met.

Description

technical field [0001] The invention relates to the field of computer application technology, in particular to a ship target classification and recognition algorithm based on manifold distance representation. Background technique [0002] As an important carrier at sea, the efficiency of automatic detection and identification of ships is related to the success or failure of our army's war to seize the sea to a certain extent. Especially in recent years, with the development of satellite remote sensing technology, the recognition algorithm based on optical remote sensing images has shown its own advantages, which has attracted great attention from scholars at home and abroad, and a series of theoretical reference and application value have emerged. Research results. [0003] Generally speaking, the key problem in solving target classification is how to cluster, and the most important factor in clustering is the measurement of similarity between target objects. Traditional si...

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): G06K9/62
CPCG06F18/24143
Inventor 郭伟娅夏学知
Owner NO 709 RES INST OF CHINA SHIPBUILDING IND CORP
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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com