Least square matching method based on adaptive object-side element

A technique of least squares and matching method, which is applied in the direction of instruments, character and pattern recognition, computer components, etc., and can solve problems such as non-convergence of correction values, influence on matching results, and low quality

Pending Publication Date: 2021-01-29
深圳市数字城市工程研究中心 +1
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the tangent plane only exists on the surface of the continuous object, so the optimization method based on the object aspect element will have mismatching or low matching accuracy on the edge of the surface discontinuity, such as the building edge in the urban remote sensing image.
Moreover, for the least squares adjustment calculation, the initial parameters set will directly affect the matching results
When the difference between the initial parameters and the final result is large, it is likely that the solution cannot be solved because the correction value does not converge

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 square matching method based on adaptive object-side element
  • Least square matching method based on adaptive object-side element
  • Least square matching method based on adaptive object-side element

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0044] In order to better understand the above-mentioned technical solution, the above-mentioned technical solution will be described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0045] This embodiment provides a least squares matching method based on adaptive object aspect elements, which mainly includes the following steps:

[0046] Step 1. Using the initial matching image pair, the initial object-space three-dimensional point coordinates P(X c ,Y c ,Z c ), as the principal point of the object aspect.

[0047] Step 2. Based on the principal point of the object aspect element, and according to the correlation of each pixel in the image window obtained by projecting the object aspect element to the image to be matched, determine the size of the matching object aspect element and the position of the pixel to be matched in the image window. The geometric projection relationship establishes the error equation, obtains the...

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 belongs to the technical field of remote sensing image processing image matching, and discloses a least square matching method based on adaptive object-side elements, and the method comprises the steps: obtaining an initial object-side three-dimensional point coordinate through the spatial forward intersection and collinear equation projection relation of an initial matching image pair, and taking the initial object-side three-dimensional point coordinate as an object-side element main point; determining the size of a matched object aspect element and the position of a to-be-matched pixel in the image window according to the correlation of each pixel in the image window obtained by projecting the object-object element to the to-be-matched image by taking the object-object element main point as a reference, and establishing an error equation according to a spatial geometric projection relationship; and obtaining radiation distortion and geometric distortion correction values through least square iterative optimization, and searching for an optimal matching point position. The method can improve the matching precision and the matching success rate.

Description

technical field [0001] The invention relates to the technical field of remote sensing image processing and image matching, in particular to a least squares matching method based on adaptive object aspect elements. Background technique [0002] In recent years, the matching optimization method based on object aspect elements has been widely used to improve the accuracy of single-point matching. Its basic idea is: 1) use the initial matching to calculate the object point coordinates through forward intersection; 2) take the initial object point coordinates as the center Create a surface element in the object space; 3) Project the object points on the object surface element onto the reference image and the search image respectively according to the projection relationship; 4) Establish the error equation through the geometric projection relationship and use the least squares adjustment to calculate the optimal Match pixels and final object point coordinates. According to the s...

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): G06K9/62G06K9/36
CPCG06V10/20G06V10/247G06V10/751
Inventor 杨楠
Owner 深圳市数字城市工程研究中心
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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap