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

Remote sensing image fusion method combining guided filtering and IHS transformation

A remote sensing image fusion and guided filtering technology, applied in the field of image fusion for remote sensing multispectral images and panchromatic images, can solve the problems of spatial distortion, spectral distortion, and multispectral image mismatch of fused images, avoiding excessive insertion, The effect of high spectral resolution, enhanced spatial resolution

Pending Publication Date: 2019-07-09
CHONGQING UNIV OF POSTS & TELECOMM
View PDF2 Cites 13 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Classic component replacement methods include HIS (Intensity-Hue-Saturation) transformation, GS (GramSchmidt) transformation, PCA (Principal Component Analysis) transformation, etc. Due to the complex spectral response between panchromatic images and multispectral images, component replacement methods will be accompanied by severe spectral distortion
Classical multi-scale analysis methods include ATWT (àtrous wavelet transform) and Laplacian Pyramid, etc. The spatial details extracted by such methods may not match the multispectral image, so there is a certain spatial distortion in the fused image.

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
  • Remote sensing image fusion method combining guided filtering and IHS transformation
  • Remote sensing image fusion method combining guided filtering and IHS transformation
  • Remote sensing image fusion method combining guided filtering and IHS transformation

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0024] Below in conjunction with accompanying drawing and embodiment the present invention is further described, and the present invention includes but not limited to following embodiment.

[0025] The present invention comprises the following steps:

[0026] Assuming the original multispectral image (MS i ) contains N bands, and the subscript i=1,2,...,N indicates the i-th band of the corresponding multi-band image.

[0027] The first step, upsampling multispectral image

[0028] The bicubic interpolation method is used to upsample the original multispectral image to obtain an upsampled multispectral image matching the panchromatic image, which is denoted as MS i .

[0029] The second step is to calculate the intensity component I of the multispectral image

[0030] Computing the intensity component I, I can be obtained by suitably upsampling the multispectral image MS i The linear combination model of is estimated to get:

[0031]

[0032] Among them, the linear com...

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 remote sensing image fusion method combining guided filtering and IHS transformation. The method comprises steps of carrying out image fusion by adopting a detail injection model; performing multi-scale guided filtering on the preprocessed image to obtain detail information; designing a corresponding insertion coefficient; and finally, inserting detail information into theup-sampled multispectral image to obtain a fused image, wherein the fused image retains the spectral resolution of the original multispectral image, has higher spatial resolution, and is an effectivefusion method suitable for fusion of the high-resolution remote sensing multispectral image and the panchromatic image.

Description

technical field [0001] The present invention relates to the visual enhancement processing technology of remote sensing images, especially the image fusion method for remote sensing multispectral images and panchromatic images Background technique [0002] Due to technical limitations such as the physical characteristics of the sensor, the current remote sensing images cannot obtain high spatial resolution and high spectral resolution at the same time. If a higher spectral resolution is obtained, a certain high spatial resolution is often sacrificed, and vice versa. . In order to solve this problem, remote sensing platforms often need to be equipped with sensors with different characteristics to obtain panchromatic images with high spatial resolution and multispectral images with high spectral resolution respectively to form complementary image data sets. Remote sensing images with high spatial resolution and high spectral resolution can be obtained by processing complementa...

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): G06T5/50G06T7/30
CPCG06T5/50G06T7/30G06T2207/10036G06T2207/20221G06T2207/20024
Inventor 霍英海楚恒王汝言向泽君
Owner CHONGQING UNIV OF POSTS & TELECOMM
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