Robust automatic panoramic unmanned aerial vehicle image splicing method and device

A technology of image stitching and unmanned aerial vehicles, applied in the field of image processing, can solve the problems that the image cannot be approximated as a plane, ghosting errors, etc., and achieve perfect effects, reduced ghosting effects, and a wide range of applications

Active Publication Date: 2019-08-09
CHINA UNIV OF GEOSCIENCES (WUHAN)
View PDF11 Cites 8 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, for drone images, non-rigid matching is crucial, since these images usually contain some local deformations, which cannot be resolved by rigid matching
On the other hand, remote sensing images captured by UAVs are taken from low altitudes, and the obtained images

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
  • Robust automatic panoramic unmanned aerial vehicle image splicing method and device
  • Robust automatic panoramic unmanned aerial vehicle image splicing method and device
  • Robust automatic panoramic unmanned aerial vehicle image splicing method and device

Examples

Experimental program
Comparison scheme
Effect test

Example Embodiment

[0029] In order to have a clearer understanding of the technical features, objectives and effects of the present invention, the specific embodiments of the present invention will now be described in detail with reference to the accompanying drawings.

[0030] In order to facilitate the understanding of the present invention, this application first introduces the principle of the present invention as follows.

[0031] Given a set of UAV images, the task of the present invention is to put them in a system to obtain a mosaic panorama. Due to the particularity of UAV images, traditional splicing systems cannot produce good results. Therefore, the present invention modifies the system to make it robust to UAV images.

[0032] 1. Use vector field consensus algorithm for non-rigid matching

[0033] Using feature detection method to infer the hypothetical matching set of the two images to be registered x n And y n Two-dimensional column vectors respectively representing the spatial positio...

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 robust automatic panoramic unmanned aerial vehicle image splicing method and device. In a traditional automatic panoramic image splicing method, assuming that a camera precisely rotates around an optical center, transformation between source images is a group of special homography matrixes, such ideal data is difficult to obtain actually, especially, remote sensing imagesobtained by an unmanned aerial vehicle cannot meet such ideal conditions, that is, the images may not be on the same plane (including parallax), and even may suffer from non-rigid changes, resultingin bad splicing results. In order to overcome the challenges, a non-rigid matching algorithm is introduced into the splicing system, accurate feature matching is generated on a remote sensing image, and in the registration stage, the invention further provides a new differential transformation and overall adjustment strategy, so that the splicing system is suitable for the panoramic splicing effect of the unmanned aerial vehicle image. Experimental results show that the visual effect of the method is superior to that of a traditional method and some latest methods.

Description

technical field [0001] The present invention relates to the field of image processing, in particular to the field of image stitching, and more specifically, to a robust automatic panoramic UAV image stitching method and device. Background technique [0002] Unmanned Aerial Vehicle (UAV) remote sensing technology is a low-altitude technology that has become an important means of information collection. It has been widely used in various ground survey applications due to its fast acquisition speed, convenient operation, good safety, and low investment. However, due to the low flight altitude and the limited focal length of the camera, UAV images have a small view of the scene, making it difficult to capture a relatively complete target area. In order to obtain a complete scene of the desired target, the present invention needs to combine multiple images of the same target through technical means. The purpose of image stitching is to combine overlapping parts of multiple imag...

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): G06T3/40G06T7/33
CPCG06T3/4038G06T7/337G06T2207/10032
Inventor 罗林波许权陈珺龚文平程卓罗大鹏
Owner CHINA UNIV OF GEOSCIENCES (WUHAN)
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