Remote sensitive image fusing method based on residual error

A technology of remote sensing image fusion and residual image, applied in the field of remote sensing image fusion based on residual, can solve the problems of poor spectral characteristic retention, blurred ground object texture, and spectral information destruction of multi-spectral images, and achieves the enhancement of spatial details. information and the effect of maintaining spectral information and improving the overall effect

Inactive Publication Date: 2005-03-02
FUDAN UNIV
View PDF0 Cites 13 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The common disadvantage of these two "component replacement" methods is that the spectral information of the multispectral image will be severely damaged [1-4]
[0005] Because the wavelet transform fusion method directly discards the low-frequency components of the panchromatic image, it is prone to block effects
At the same time, the size of the decomposition order of the wavelet transform also has a great impact on the fusion effect
If the orde

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 sensitive image fusing method based on residual error
  • Remote sensitive image fusing method based on residual error
  • Remote sensitive image fusing method based on residual error

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0035] Below by example, each composition in the invention is further described

[0036] 1. Extraction of residuals

[0037] Residual extraction algorithm E(□) such as figure 2 shown. Firstly, the interpolated image I is obtained through the image interpolation algorithm Z(□), and then the low-resolution image estimation MS of the original multispectral image is obtained through low-pass filtering and downsampling process L(□) L , and finally use the original multispectral image MS and the low-resolution image to estimate MS L Subtract the residual image e of the multispectral image g . The interpolation algorithm Z(□) here adopts the bicubic interpolation method, and determines the gray level of the pixel to be interpolated through 4×4 pixels near the point to be interpolated. The low-pass filter used is a mean value low-pass filter of 11×11. For a panchromatic image, the same residual extraction algorithm E(□) can be used to obtain the residual image e of the panchroma...

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 a remote sensing image fusion method based on residual error. The method acquires residual error image of multi-spectrum image and residual error image of whole-color image with residual error extracting algorithm; then the residual error images of the multi-spectrum image is interpolated with the same size to the residual error image of the whole-color image, carries on image fusion to the residual error image of the multi-spectrum image and the residual error image of the whole-color image after being interpolated, restores the high resolution residual error of the multi-spectrum image; finally the high resolution image estimation of the multi-spectrum image can be acquired through adding the interpolation image of the spectrum image and the residual error image of multi-spectrum image. The invention can enhances the space detail representing ability of the fused image, at the same time, it reserves the spectrum information of original multi-spectrum image, its structure is simple, and the effect is excellent.

Description

technical field [0001] The invention belongs to the technical field of remote sensing image processing, and in particular relates to a residual-based remote sensing image fusion method. Background technique [0002] Remote sensing image fusion is a technology that uses certain methods to combine the advantages of each image to generate a new image after spatial registration of different types of image data. For example, people usually want to fuse multispectral images and panchromatic images so that the fused multispectral images have high spatial detail performance capabilities while maintaining the spectral characteristics of multispectral images to obtain a more comprehensive and clear view of the surface. In order to improve the interpretation and analysis accuracy of remote sensing images. [0003] The fusion method of remote sensing images mainly includes the HIS (Hue-Intensity-Saturation) transformation fusion method. [1,2] , PCA (Principal Component Analysis) fusio...

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): G06T5/00G06T5/50
Inventor 葛志荣王斌张立明
Owner FUDAN 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