High spectral image fusion method based on variational method

A hyperspectral image and fusion method technology, applied in image enhancement, image data processing, instruments, etc., can solve problems such as unsatisfactory results

Active Publication Date: 2012-05-23
BEIHANG UNIV
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

They have been well studied in the field of multispectral image fusion, but in the field of hyperspectral image fusion, there are relatively few related studies, and most of them are directly transplanted from existing methods, because the data spectrum is generally not targeted during the transplantation process. research, the results are not very satisfactory

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
  • High spectral image fusion method based on variational method
  • High spectral image fusion method based on variational method
  • High spectral image fusion method based on variational method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0052] In order to better understand the technical solution of the present invention, the embodiments of the present invention will be further described below in conjunction with the accompanying drawings:

[0053]The present invention is realized under the MATLAB7.1 language environment. The computer reads the hyperspectral remote sensing image data and the registered high-resolution image data, first establishes the correct energy functional expression based on the similarity measure with the source image, selects the appropriate weight coefficient, and then solves the functional expression Extremum function, the extremum function is the desired hyperspectral fusion image. In the solution process, the present invention continues the split Bregman iterative algorithm in the existing method.

[0054] The present invention is a hyperspectral image fusion method based on a variational method. The process of the method is shown in figure 1 As shown, the computer configuration a...

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 provides a high spectral image fusion method based on a variational method, which is a high spectral image and high-resolution visible light image fusion method based on a variational method. The fusion method comprises the following three steps: (1) reading a high spectral image data by a computer in an MATLAB7.1 environment; (2) creating a functional expression based on a variational method, and selecting appropriate weighting coefficients; and (3) solving an extremal function of the functional expression by using a splitting Bregman iterative algorithm to obtain a fusion result. The invention overcomes the disadvantages that a high spectral image fusion is not easily to be explanted directly and the retentivity of spectrum is not good in the prior art. The invention achieves a good fusion effect and has a wide application prospect in the technical field of high spectral image fusion.

Description

(1) Technical field: [0001] The invention relates to a hyperspectral image fusion method based on a variation method, and belongs to the technical field of hyperspectral remote sensing image fusion. (two) background technology: [0002] Hyperspectral remote sensing is the abbreviation of Hyperspectral Remote Sensing (Hyperspectral Remote Sensing), which is a technique for obtaining many spectrally continuous image data in the visible and infrared bands of the electromagnetic spectrum. Using imaging spectrometers, hyperspectral data can be collected, and the obtained hyperspectral data contains rich spatial and spectral information, which is the so-called "integration of map and spectrum". Its outstanding feature lies in its extremely high spectral resolution (generally around 10nm), The fine spectral resolution reflects the subtle features of the object spectrum, making it possible to perform quantitative remote sensing analysis in the spectral domain. Compared with traditi...

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 Patents(China)
IPC IPC(8): G06T5/50
Inventor 史振威安振宇姜志国
Owner BEIHANG UNIV
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