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

Splicing generation method and device for ultra-large aerial strip images

A technology for generating devices and images, which is applied in the field of image processing, can solve the problems of large amount of computing data, low stitching efficiency and precision, and achieve the effects of reducing storage space, improving stitching efficiency, and ensuring stitching quality

Pending Publication Date: 2021-01-01
SUN YAT SEN UNIV
View PDF0 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The existing UAV aerial image stitching technology is mainly for the feature point extraction and registration of UAV aerial images without prior information such as the swing angle information of the camera sensor, the flight height and speed of the UAV, and then spliced. Image stitching requires a large amount of computational data and fails to make full use of drone sensor information, resulting in low stitching efficiency and accuracy

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
  • Splicing generation method and device for ultra-large aerial strip images
  • Splicing generation method and device for ultra-large aerial strip images
  • Splicing generation method and device for ultra-large aerial strip images

Examples

Experimental program
Comparison scheme
Effect test

no. 1 example

[0044] like figure 1 As shown, the first embodiment provides a method for splicing and generating super large aerial strip images, including steps S1-S4:

[0045] S1. Receive the aerial image of the UAV and the sensor data corresponding to the aerial image of the UAV, and preprocess the aerial image of the UAV according to the sensor data to obtain the image to be spliced;

[0046] S2. Using different images to be stitched as the reference image and the image to be registered, extracting two most similar regions of interest in the reference image and the image to be registered;

[0047] S3. Perform feature point extraction and matching on the two regions of interest to obtain an affine transformation matrix and relative pixel coordinates between the reference image and the image to be registered;

[0048] S4. Convert the pixel coordinates into latitude and longitude coordinates according to the sensor data, and stitch the reference image and the image to be registered accordi...

no. 2 example

[0088] like figure 2 As shown, the second embodiment provides a device for splicing and generating super large aerial strip images, including: an image preprocessing module 21, which is used to receive the drone aerial image and the sensor data corresponding to the drone aerial image, and according to the sensor The data is preprocessed on the aerial image of the drone to obtain the image to be stitched; the region extraction module 22 is used to use different images to be stitched as the reference image and the image to be registered, and extract the two most similar images in the reference image and the image to be registered. Block region of interest; coordinate calculation module 23, used to extract and match feature points for two regions of interest, to obtain the affine transformation matrix and relative pixel coordinates between the reference image and the image to be registered; image stitching module 24 , which is used to convert the pixel coordinates into latitude ...

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 splicing generation method and device for ultra-large aerial strip images. The method comprises the following steps: receiving aerial images of an unmanned aerial vehicle andsensor data corresponding to the aerial image of the unmanned aerial vehicle, and preprocessing the aerial images of the unmanned aerial vehicle according to the sensor data to obtain to-be-spliced images; taking different to-be-spliced images as a reference image and a to-be-registered image, and extracting two most similar areas of interest in the reference image and the to-be-registered image;performing feature point extraction and matching on the two areas of interest to obtain an affine transformation matrix between the reference image and the to-be-registered image and opposite pixel coordinates; and converting the pixel coordinates into latitude and longitude coordinates according to the sensor data, and splicing the reference image and the to-be-registered image according to thelatitude and longitude coordinates to obtain an aerial strip image. The aerial images of the unmanned aerial vehicle can be quickly spliced to generate the aerial strip images with super-high resolution.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a method and device for splicing and generating super-large aerial strip images. Background technique [0002] In recent years, unmanned aerial vehicles (UAVs) have been widely used in various aerial photography and remote sensing scenes, wide field of view, and high-resolution aerial images, which are of great significance in military fields such as intelligence analysis, pre-war reconnaissance, and combat assessment. Due to size limitations, there is a contradiction between field of view and resolution. The coverage of a single UAV aerial image is small, which cannot meet the needs of practical applications. [0003] In order to expand the field of view and obtain global information, the aerial images of drones are usually stitched into a complete large image with natural transition. The existing UAV aerial image stitching technology is mainly for the feature point ex...

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): G06T3/40G06T5/00G06T7/33G06K9/62G06K9/46G06K9/32
CPCG06T3/4038G06T7/33G06T2207/10032G06V10/25G06V10/462G06V10/751G06F18/22G06T5/80G06T5/73
Inventor 潘亮李铭慧胡天江张新王法魁
Owner SUN YAT SEN UNIV
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