Large-range multi-view inclined image connection point quickand accurate matching method

An oblique image and precise matching technology, which is applied in the field of surveying and mapping science, can solve the problems of low matching efficiency, low matching quality, and empty three-layered connection points, etc.

Active Publication Date: 2021-04-02
CCCC SECOND HIGHWAY CONSULTANTS CO LTD
View PDF5 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0010] The purpose of the present invention is to provide a method for fast and accurate matching of connection points of large-scale multi-view oblique images, which mainly solves the problem of low matching effi

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
  • Large-range multi-view inclined image connection point quickand accurate matching method
  • Large-range multi-view inclined image connection point quickand accurate matching method
  • Large-range multi-view inclined image connection point quickand accurate matching method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0060] The present invention will be described in detail below in conjunction with the accompanying drawings and embodiments, and the technical solutions in the embodiments of the present invention will be described completely and clearly. Obviously, the introduced embodiments are only part of the embodiments of the present invention. The relative arrangement of components, numerical values, etc. set forth in these embodiments do not limit the scope of the present invention unless specifically stated otherwise.

[0061] Such as figure 1 As shown in , a fast and accurate matching method for connection points of large-scale multi-view oblique images includes the following steps:

[0062] Step 1. Refinement of the external azimuth angle elements of the down-view image:

[0063] Select the downward-looking images in a certain range (such as 4 routes, 10 images for each route) for free network adjustment processing, and use the geometric constraints of the intersecting ray pairs w...

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 a large-range multi-view inclined image connection point quick and accurate matching method, which comprises the following steps of calculating a downward-view camera placementangle error by utilizing a downward-viewimage in a small-range local area, and correcting an external azimuth angle element of thedownward-view image, performingdownward-view image connection point matching by fusing and utilizing strategies such as pyramid image matching, block feature point extraction and relaxation iteration method matching, and obtaining accuratedownward-view image exterior orientation elements and connection point object space coordinates through block adjustment, on the basis, fully using the spatial geometric constraint relation between the downward-view image and theoblique-view image, and achieving turning point matching from a downward-view image connection point to the oblique-view image, and refining the coordinates of the image points of the connection points by using multi-view object space matching to realize rapid and accurate matching of the connection points of the inclined images. The geometric constraint between the downward-view image and the oblique-view image is fully utilized, only the feature points are extracted from the downward-view image for matching, and the matching speed and quality of the connection points of the large-range oblique image are effectively guaranteed.

Description

technical field [0001] The invention belongs to the field of surveying and mapping science and technology, and relates to a fast and accurate matching method for connection points of large-scale multi-view oblique images. This method is suitable for fast automatic aerial triangulation of large-scale multi-view oblique images, which is conducive to improving the matching speed, accuracy and overlap of connection points in automatic aerial triangulation of multi-view oblique images, and provides more information for the calculation of block adjustment of oblique images. Excellent image point observation data. Background technique [0002] Multi-view aerial photography has changed the operation mode of traditional aerial photography, which only shoots vertically. It can obtain multi-view images from downward and different oblique directions at the same time, and obtain richer multi-view image information. It has been used in large-scale mapping, cadastral surveying, Widely use...

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): G06T7/73
CPCG06T7/73
Inventor 明洋杨淑芬常青曾聪王刊生张霄郑亮
Owner CCCC SECOND HIGHWAY CONSULTANTS CO LTD
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