UAV aerial image calibration method suitable for plane measurement

An image calibration and plane measurement technology, applied in image enhancement, image analysis, image data processing, etc., can solve the problems of inability to obtain calibration results in real time, complicated implementation process, poor user experience, etc., and achieve real-time drones. Calibration and measurement, clear process, various effects of image calibration

Active Publication Date: 2021-04-13
成都准望科技有限公司
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Although this method is applicable to any aerial pictures, it needs to provide the geographical coordinates of known points, and even use GPS locator to measure the known points on the spot to obtain the geographical coordinates, resulting in complicated implementation process, low efficiency, high technical requirements, and user poor experience
[0006] 2. Through professional image measurement software, several continuous associated images are geographically spliced ​​according to the aerial three-dimensional data of exposure points to achieve high-precision deviation correction. This method can splice several sub-aerial images into a whole picture, which is suitable for the production of large-area aerial maps. , but because image processing requires professional software and graphics workstations, the software and supporting graphics workstations are not only expensive, but most of the image stitching processing takes several hours to complete, and the calibration results cannot be obtained in real time and on the spot, making the efficiency low

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
  • UAV aerial image calibration method suitable for plane measurement
  • UAV aerial image calibration method suitable for plane measurement
  • UAV aerial image calibration method suitable for plane measurement

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0122] Such as figure 1 As shown, a UAV aerial image calibration method suitable for plane measurement includes the following steps:

[0123] a. Establish an image calibration model using three parameters: image azimuth Azimuth, image scale Scale, and image origin Origin;

[0124] b. Calibrate the planar map image or conduct on-the-spot acquisition and self-calibration of the planar map to obtain preliminary calibration results;

[0125] c. If the preliminary calibration result is the result of calibrating the planar map image, proceed to step f; if the preliminary calibration result is the result of field collection and self-calibration of the planar map, proceed to step d;

[0126] d. Verify the calibration results of the preliminary calibration results. By superimposing the calibrated images on the electronic map, check the overlapping effect. If it is completely or basically overlapped or meets the surveying and mapping requirements, go to step f; if there is displacement...

Embodiment 2

[0152] This embodiment is on the basis of embodiment 1, as figure 2 As shown, the specific steps for calibrating the plane map image in the step b are as follows:

[0153] b1. Select at least two image points on the planar map;

[0154] b2. Calculate the image azimuth picAzimuth and the image distance picDistance between two adjacent image points;

[0155] b3. Mark the corresponding marked points in the electronic map according to the selection order of the image points, and obtain the geographical coordinates of the marked points on the electronic map during the marking process, and pair them with the corresponding image points;

[0156] b4. Calculate the geographic azimuth MapAzimuth and the geographic distance MapDistance between adjacent marked points on the electronic map;

[0157] b5. Calculate the image azimuth Azimuth, the image scale Scale, and the image origin according to the acquired image azimuth picAzimuth, image distance picDistance, geographic azimuth MapAzi...

Embodiment 3

[0160] In this embodiment, on the basis of Embodiment 2, in the step b5, the image azimuth angle Azimuth, the image scale Scale and the image origin are calculated in the following manner, wherein:

[0161] Image azimuth Azimuth: Azimuth=MapAzimuth-picAzimuth;

[0162] Image scale Scale: Scale=MapDistance÷picDistance;

[0163] Image Origin: Calculate the image coordinates of Origin according to the image size of the planar map, and obtain a marked point A and the geographic coordinates of A; the image azimuth from A to Origin is added to Azimuth to get the geographic azimuth rotation from A to Origin, A Multiply the image distance to Origin by Scale to get the geographic distance length from A to Origin, and use the length, rotaion, and geographic coordinates of A to get the geographic plane coordinates of Origin through the geographic coordinate conversion method. So far, according to the calibration model that has been calibrated, the geographic coordinates of each image po...

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 UAV aerial photography image calibration method suitable for plane measurement. First, an image calibration model is established; it is judged whether to calibrate any map or on-site aerial photography calibration, and if any map is calibrated, the image calibration is completed Finally, perform fine-tuning to complete the calibration; if it is on-site aerial photography calibration, first perform aerial photography image acquisition, and record the calibration parameters, and then automatically calibrate to obtain preliminary calibration parameters; and judge whether the preliminary calibration parameters meet the requirements, and if so, complete the calibration ; If not, perform planar image deskewing or planar image fast calibration, and after planar image deskewing or planar image quick calibration, perform fine-tuning to complete the calibration. The present invention adopts a simpler, clearer and faster image operation to realize real-time UAV calibration and measurement, which saves time and cost to a great extent; the fast calibration mode can be used to make up for the map blind spot problem of image calibration, greatly Improved calibration efficiency and user experience.

Description

technical field [0001] The invention relates to the field of image calibration, in particular to a method for calibrating aerial images of unmanned aerial vehicles suitable for plane measurement. Background technique [0002] Traditional surveying and mapping surveys mostly use professional surveying instruments such as GPS locators or total stations for field surveys. Although such surveying and mapping methods have high precision, they are difficult to operate and need to be on the spot to complete the survey work, which is inefficient. [0003] In recent years, with the development of unmanned aerial vehicle technology, more and more survey work has begun to integrate UAV aerial photography technology into it. With the mobility and intelligence of UAV, the measurement efficiency has been greatly improved. However, at present, the operation of UAV measurement technology still requires a professional team and equipment to carry out, which not only requires high technical re...

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): G06T5/00G06T7/33G01C11/04
CPCG01C11/04G06T5/006G06T2207/10032G06T2207/30181G06T7/337
Inventor 黄仁杰
Owner 成都准望科技有限公司
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