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

Least squares matching method based on multi-channel

A technology of least squares and matching method, applied in the fields of instrument, calculation, character and pattern recognition, etc., can solve the problem of not reflecting the advantages of color and multi-band images and multi-channel information.

Inactive Publication Date: 2021-05-18
黑龙江龙飞航空摄影有限公司
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In the process of multi-channel image matching, the traditional matching method is to convert multi-channel images into grayscale images for matching, which does not reflect the advantages of multi-channel information in color and multi-band images in the image matching process

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
  • Least squares matching method based on multi-channel
  • Least squares matching method based on multi-channel
  • Least squares matching method based on multi-channel

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0019] In order to better understand the technical solution of the present invention, the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0020] The technical solution of the present invention can adopt computer software technology to realize the automatic operation process. The embodiment of the present invention is to match two urban area RGB color UAV images, refer to figure 1 , the steps of the process of the embodiment of the present invention are as follows:

[0021] Step 1, initial matching forward intersection to obtain object space three-dimensional point coordinates.

[0022] Embodiment First input image-related parameters, and use the forward intersection method (formula (1)) to calculate the three-dimensional point coordinates P(X c ,Y c ,Z c ).

[0023]

[0024] Among them, (X s0 ,Y s0 ,Z s0 ) and (X si ,Y si ,Z si ) are the coordinates of the projection centers of the reference image and t...

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 present invention is a least squares matching method based on multi-channel, which is mainly used for the matching optimization of multi-channel remote sensing images. The error equation is established for the luminance value of the corresponding pixel in the corresponding channel, and the iterative optimization of the radiation distortion and geometric distortion correction parameters is performed to search for the best matching point. Compared with the original matching method based on the gray scale image, the invention can reduce the interference of the color difference on the matching result, and improve the precision and stability of the remote sensing image matching.

Description

technical field [0001] The invention belongs to the technical field of remote sensing image processing and image matching, and relates to a multi-channel-based least squares matching method. Background technique [0002] Least Squares Image Matching (Least Squares Image Matching) is a high-precision matching algorithm based on image grayscale proposed by Professor Ackermann of the University of Stuttgart in Germany. Since the matching accuracy of the algorithm can reach the sub-pixel level, least squares image matching is widely used It is used in many fields such as digital ground model generation, air three encryption and facial recognition. To this day, least squares matching and its related algorithms are still one of the most effective solutions for many matching tasks in the field of photogrammetry and remote sensing. [0003] As an image matching algorithm based on grayscale, the input data of the least squares matching algorithm is grayscale image. With the improve...

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): G06K9/62
CPCG06V10/751
Inventor 杨楠张延波杨艳玲邵云明马杰
Owner 黑龙江龙飞航空摄影有限公司
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