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

Optical remote sensing image registration method

An optical remote sensing image and registration technology, applied in the field of image processing, can solve the problems of difficult edge extraction, difficult to apply optical remote sensing images of different resolutions, and high algorithm complexity, so as to improve registration accuracy, reduce algorithm complexity, The effect of optimizing the efficiency of the algorithm

Inactive Publication Date: 2010-09-29
陈贤巧 +2
View PDF0 Cites 24 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Compared with the traditional chain code-based registration method, the present invention overcomes the shortcomings of the prior art: the edge is difficult to extract, the algorithm complexity is high, and it is difficult to apply to optical remote sensing images with different resolutions, etc.

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
  • Optical remote sensing image registration method
  • Optical remote sensing image registration method
  • Optical remote sensing image registration method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0082] Example 1: Registration of optical remote sensing images with different resolutions and the same resolution

[0083] An optical remote sensing image registration method of the present invention is applied to remote sensing images with different resolutions and the same resolution.

[0084] The experimental platform is VC++6.0, which is implemented on a PC with 2GHz Intel Pentium(R) 4CPU. In the experiment, the histogram ratio threshold p is taken in the image segmentation 0 = 0.02, the area of ​​the closed area is considered as an effective small surface element within the range of (50, 500); in the rough matching of small surface elements, the geometric similarity coefficient ε 1 =ε 3 =0.85,ε 2 =ε 4 =1.15; the perimeter of the closed chaincode is greater than 20 pixels, it is considered to be an effective chaincode, and the chaincode-related threshold is 0.85; the threshold of the invariant moment distance is 0.1; considered a mismatch.

[0085] (1) Image registr...

Embodiment 2

[0092] Example 2: Comparison of different registration methods

[0093] The experimental image is figure 2 , image 3 , Figure 5 , Figure 6 , comparing the registration method of the present invention with traditional registration algorithms based on chain codes and manual registration algorithms, it can be seen that the advantages of the present invention are shown in Table 2.

[0094] Table 2 RMSE comparison of three registration methods

[0095]

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 discloses an optical remote sensing image registration method which is characterized by the following steps that: first a small surface element is extracted, pretreated and matched at one step so as to more effectively extract a closed border and reduce the algorithm complexity simultaneously; second, boundary correspondence relationship is established according to the similar function of a closed border chain code and a region invariant moment matching strategy; and finally the center of mass of a matched area, i.e. a matching point is extracted for consistency detection, and an affine transformation parameter is estimated for image registration. The optical remote sensing image registration method improves the defect that the prior art is based on a chain code registration method, improves the registration precision and time efficiency, and can meet the automatic registration requirements of optical remote sensing images.

Description

technical field [0001] The invention relates to an image processing method, in particular to an optical remote sensing image registration method. It belongs to image processing technology. Background technique [0002] There are relative translation, rotation, different scaling and even distortion relations between the image data of the same object obtained by different sensors, different imaging modes and different times. When comprehensively analyzing and utilizing them, the registration problem between images should be solved first. . The process of image registration is to find a spatial transformation to make the corresponding points of the two images representing the same object reach the same spatial position. The registration result should make all the points on the two images or at least have the actual The points in the application sense are all matched, which provides a guarantee for the further processing of the image. [0003] Satellite remote sensing systems...

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 Applications(China)
IPC IPC(8): G06T7/00G01S7/48
Inventor 陈贤巧吴文宇程蕾
Owner 陈贤巧
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