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

An improved ihs transform remote sensing image fusion method and system

A technology of remote sensing image and fusion method, which is applied in the field of remote sensing image processing, can solve problems such as image spectral distortion, achieve the effects of preventing information waste, improving correlation coefficient, and avoiding spectral distortion

Active Publication Date: 2021-02-12
CHINA CENT FOR RESOURCES SATELLITE DATA & APPL
View PDF8 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, this algorithm has two obvious disadvantages: one is that it can only process information in three bands of red, green, and blue, while domestic satellite multispectral bands are generally set to four or more; When the range is inconsistent with the multi-spectrum, the spectrum of the fused image is greatly distorted

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
  • An improved ihs transform remote sensing image fusion method and system
  • An improved ihs transform remote sensing image fusion method and system
  • An improved ihs transform remote sensing image fusion method and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0108] Taking Gaofen No. 2 panchromatic and multispectral images as an example to carry out fusion experiments, the traditional HIS fusion and the improved HIS fusion method proposed by the present invention are used for comparative experiments, and the average gradient, entropy, correlation coefficient and spectral distortion are used as objective evaluation criteria . Result evaluation is shown in Table 1, as can be seen the technical effect of the present invention.

[0109] Table 1 Fusion evaluation results

[0110]

[0111] It can be seen from the table that the average gradient and entropy of the images generated by the improved HIS and IHS fusion methods have little change, indicating that the two methods have little difference in the amount of information and detailed information, but the improved correlation coefficient method has increased from 0.58 to 0.90. Distortion reduced from 18.68 to 6.76.

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

An improved IHS transformation remote sensing image fusion method and system, comprising the steps of (1) resampling a multispectral image to achieve the resolution of a panchromatic image; (2) performing IHS transformation on the resampled multispectral image, Obtain I, H, and S components respectively; (3) simulate a new panchromatic image; (4) take the I component image histogram as a reference, perform histogram matching on the new panchromatic image, and obtain the matched panchromatic image I new ; (5) full-color image I after histogram matching new Replacing the I component to perform inverse IHS transform to complete remote sensing image fusion. The purpose of the present invention is to improve the IHS transformation and fusion rules, so that the spectral range of the panchromatic image and the multispectral image are consistent, and the brightness and contrast of the fusion result are not lower than those before fusion.

Description

technical field [0001] The invention relates to an improved IHS transformation remote sensing image fusion method and system, belonging to the technical field of remote sensing image processing. Background technique [0002] Remote sensing images are one of the ways to obtain spatial information, and spatial resolution and spectral resolution are two important indicators to measure the quality of remote sensing images. Due to the limitation of data storage equipment on remote sensing satellites, domestic satellite optical cameras generally adopt the setting method of high spatial resolution of panchromatic images and low spatial resolution of multispectral images. Panchromatic images cannot display the color of ground features and are not aesthetically pleasing, while multi-spectral images can give RGB colors to different bands to obtain color images, but the resolution is low and cannot meet application requirements. In order to obtain high-resolution color images, it is n...

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): G06T5/40G06T5/50
CPCG06T5/40G06T5/50G06T2207/10036G06T2207/10041G06T2207/20221
Inventor 易维曾湧
Owner CHINA CENT FOR RESOURCES SATELLITE DATA & APPL
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