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

Least Squares Matching Method Based on Object-Space Vertical Double Surface Elements

A technology of least squares and matching methods, applied in image data processing, instruments, calculations, etc., can solve problems such as large undulations on the ground and blurred edges and corners.

Active Publication Date: 2016-01-27
SHENZHEN D & W SPATIAL INFORMATION TECH
View PDF2 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, there are a large number of buildings in the remote sensing images of urban areas, which makes the high-rise ground fluctuate greatly, and it is not a continuous surface. The meta-least squares matching method will blur such angular lines

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 Object-Space Vertical Double Surface Elements
  • Least Squares Matching Method Based on Object-Space Vertical Double Surface Elements
  • Least Squares Matching Method Based on Object-Space Vertical Double Surface Elements

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0045] 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.

[0046] 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 UAV images, refer to figure 1 , the steps of the process of the embodiment of the present invention are as follows:

[0047] Step 1, establish the initial normal vector.

[0048] Embodiment First, image-related parameters are input, and SGM or other image-based dense point cloud generation algorithms are used to generate dense three-dimensional point cloud data, and the output data includes object space coordinates P(X) of any three-dimensional point in the three-dimensional point cloud data. c ,Y c ,Z c ), then refer to figure 2 Establish two mutually perpendicular initial ...

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 least-square matching method based on an object space vertical double-face element. The method is mainly used in matching of characteristics points on building corner lines in a city area remote sensing image, and includes the steps of building initial normal vectors of each point in point cloud in dense matching, wherein the initial normal vectors include two vertical initial normal vectors, then building an error equation on the basis of the initial normal vectors of each three-dimensional point, carrying out iterative optimization of the double-face element parameter, and searching for the position of the optimal matching point. Compared with an original single face element algorithm, the characteristic points of the building corner lines can be matched, and model precision of a building in the remote sensing image is greatly improved.

Description

technical field [0001] The invention belongs to the technical field of remote sensing image processing image matching, and relates to a least squares matching method based on object-space vertical double-surface elements. Background technique [0002] Image matching technology has been widely used in 3D reconstruction, splicing, retrieval, target tracking, etc., and has important application value in civilian and military medical fields. Since the surface of the object is not ideal in most cases. For example, various external occlusion relations and the influence of illumination changes, even if the brightness value or color value of the corresponding projection point of the same point on the space scene object on different two-dimensional images is not exactly the same; similarly, with the same brightness value Or the two-dimensional image projection point of the color value does not necessarily correspond to the same point on the surface of the object. Image matching tec...

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): G06T7/00
Inventor 郭丙轩杨楠
Owner SHENZHEN D & W SPATIAL INFORMATION TECH
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