Infusion method of full-color image and multi-spectral image based on low-frequency correlation analysis

A multi-spectral image and correlation analysis technology, applied in image enhancement, image data processing, instruments, etc., can solve the problems of lack of detailed analysis of data, limit fusion performance, etc., to facilitate human-computer interaction, improve spatial resolution, and high The effect of practical value

Inactive Publication Date: 2010-12-29
INST OF AUTOMATION CHINESE ACAD OF SCI
View PDF6 Cites 15 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the lack of detailed analysis of the data during the fus

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
  • Infusion method of full-color image and multi-spectral image based on low-frequency correlation analysis
  • Infusion method of full-color image and multi-spectral image based on low-frequency correlation analysis
  • Infusion method of full-color image and multi-spectral image based on low-frequency correlation analysis

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0026] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be described in further detail below in conjunction with specific embodiments and with reference to the accompanying drawings.

[0027] The present invention first introduces spatial geometric information constraints and spectral information constraints during fusion; the spatial geometric information of the image is expressed by matching the updated panchromatic image gradient field, so that the fused image has a similar geometric structure; The idea of ​​"information" introduces spectral information constraints to make the low-frequency part of the fusion image coincide with the original multispectral image. Using these two constraints to construct the fusion energy functional, the smaller the value of the energy functional, the closer to the established fusion goal.

[0028] In order to better integrate the two kinds of constraint relations and ...

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 relates to an infusion method of a full-color image and a multi-spectral image based on low-frequency correlation analysis. The method comprises the following steps: expressing a gradient field of the matched and updated full-color image as image space geometric information to form space geometric information constraint on a high-resolution fusion image; introducing spectral information constraint so that the low-frequency part of the high-resolution fusion image coincides with the original multi-spectral image; automatically determining the proportion relationship between two types of the constraints by low-frequency correlation analysis of the full-color image and the multi-spectral image so as to guarantee rational fusion of the space geometric information and spectral information in different image areas; and finally adding an adjustable parameter between two types of the constraints to adjust relative content of the geometric information and the spectral information in a fusion result. The fusion effect of the method is superior to the currently popular algorithms such as IHS, PCA, DWT and the like; and the relative content of the geometric information and the spectral information can be adjusted freely, thus improving practicability of the method.

Description

technical field [0001] The invention relates to a panchromatic and multispectral image fusion method based on low-frequency correlation analysis, belonging to the field of image fusion. Background technique [0002] There are more and more types of remote sensing image data. How to complement each other and organically combine different sensors, different wave bands and different time phases is a widely concerned issue. Remote sensing image fusion solves this problem very well. It means that different images are integrated according to certain principles and algorithms after spatial registration, and new image data is formed by combining complementary information. Panchromatic images have high spatial resolution, and multispectral images store spectral information of different bands. A lot of research work has shown that the fusion of panchromatic images and multispectral images can improve the spatial resolution of multispectral images while maintaining the original spectr...

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): G06T5/50
Inventor 彭思龙周志强
Owner INST OF AUTOMATION CHINESE ACAD OF SCI
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

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap