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

Novel automatic aero-triangulation software

An automatic matching and self-calibration technology, applied in image data processing, special data processing applications, instruments, etc., can solve the problems of stationary digital cameras, increasing the difficulty of image matching and aerial triangulation, etc.

Inactive Publication Date: 2015-02-04
王涛
View PDF0 Cites 9 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The important feature of low-altitude remote sensing images is that due to the influence of wind power and the control characteristics of the remote sensing platform itself, it is difficult for the remote sensing platform to fly in a straight line according to the route, and the attitude angle of the digital camera cannot be kept fixed. When shooting from multiple angles, the digital camera needs to constantly Changing the direction of the main optical axis will inevitably have a large difference in the overlap between the captured images, and there may be a large rotation angle between adjacent images; when shooting a vertical target, the main optical axis of the digital camera is relative to the lead The angle between vertical lines is generally close to or even exceeds 45 degrees; in addition, the baseline between adjacent images is very short, and the relative orientation elements are strongly correlated, which greatly increases the difficulty of image matching and aerial triangulation

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

Examples

Experimental program
Comparison scheme
Effect test

Embodiment approach

[0012] The implementation plan of block adjustment for mid- and low-altitude remote sensing images is as follows:

[0013] The regional network adjustment mainly uses the connection points obtained by intelligent aerial three-dimensional matching, combined with the GPS / IMU data obtained by the remote sensing platform and possible ground control point data, to accurately solve the image orientation elements. Using the adjustment data and adjustment parameters, the initial value of the outer orientation element of the image and the initial value of the ground coordinates of the point with the same name are solved by the method of relative orientation and free network construction. Then establish equations for all observation data and perform legal processing. In this process, ground control points can be introduced to construct conditional equations and set the weight matrix of observation values. Then, the least squares method can be used to solve the algorithm equations 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

Novel automatic aero-triangulation software is disclosed. With wide application of unmanned aerial vehicles, responses to emergencies can be carried out by means of the unmanned aerial vehicles as a platform to perform photogrammetry. The software aims to aerial images, especially to aerial image treatment in the unmanned aerial vehicles. In the software, a feature extraction algorithm of large data is employed for treating the aerial images and a block adjustment of the large data is treated in a manner of internal and external memories, and meanwhile camera parameters are calculated.

Description

technical field [0001] The invention relates to a photogrammetry method and system for processing unmanned aerial vehicles and airborne aerial images. Background technique [0002] Unmanned aerial vehicles first appeared in 1917. The early development and application of unmanned aerial vehicles were mainly used as aircraft target drones, and the scope of application was concentrated in the military field. With the development of science and technology, its scope of application has gradually expanded to combat, reconnaissance and civilian remote sensing flight platforms. The technological revolution of the 1980s took drones a step further. With the rapid development of computer technology and communication technology and the continuous emergence of various new sensors that are digitized, weighted, small in size and high in detection accuracy, the performance of UAVs has been continuously improved, and the application range and application fields have been rapidly expanded....

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): G01C11/34G06T7/00G06F19/00
CPCG01C11/34G06T7/80
Inventor 王涛
Owner 王涛
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