Error Analysis and Compensation in Images Stitching for the Mechanically Stitched CCD Aerial Cameras

2019 ◽  
Vol 33 (09) ◽  
pp. 1955012
Author(s):  
Haipeng Kuang ◽  
Lina Zheng ◽  
Guoqin Yuan ◽  
Jianjun Sun ◽  
Zhuang Zhang
Keyword(s):  
Attitude Change ◽  
Correction Method ◽  
Monte Carlo Algorithm ◽  
Image Motion ◽  
Image Mosaic ◽  
Geometric Correction ◽  
Ccd Imaging ◽  
Imaging Model ◽  
Orientation System ◽  
Relationship Of

Image misalignment during image stitching is a common issue for the mechanically stitched CCDs in the aerial cameras due to the relative image motion between CCDs. In this paper, we analyze the error in imaging stitching for the mechanically stitched CCDs and propose a compensation method based on position and orientation system (POS). First, the imaging relationship of overlapping pixels in mechanical stitching is analyzed. The imaging model of adjacent CCD is constructed according to the collinear equation. The effects of stitching staggered distance, carrier attitude change and flight speed on the image mosaic of overlapping areas are given. Monte Carlo algorithm is used to analyze the statistical value of image mosaic error in overlapping area under typical working conditions. Then, a geometric correction method based on POS recording of external orientation elements of adjacent CCD imaging is proposed. The overlapping area stitching error is reduced from 14.9 pixels to 0.4 pixels which meets the engineering requirements. The mechanical stitching mathematical model, analysis and correction method established in this paper have strong engineering and application significance for mechanical stitching of aerial cameras.

Self-correction method of out-of-plane motions in two-dimensional digital image correlation

2016 ◽  
Vol 232 (9) ◽  
pp. 1672-1676 ◽  
Author(s):  
Wentao Yan ◽  
Feng Lin
Keyword(s):  
Digital Image Correlation ◽  
Digital Image ◽  
Correlation Method ◽  
Correction Method ◽  
Image Correlation ◽  
Two Dimensional ◽  
Monitoring Method ◽  
Strain Monitoring ◽  
Out Of Plane ◽  
Relationship Of

Strain monitoring is very important in the manufacturing, assembling, installation and servicing processes in both mechanical and civil engineering fields. Two-dimensional digital image correlation is a simple, efficient strain monitoring method, but one major bottleneck is the unacceptable error due to the unavoidable out-of-plane motions of the object in practice. We propose a “self-correction” method: employing the originally extracted strain values in different directions to correct the errors due to out-of-plane motions. It is applicable to many engineering applications with known relationship of strains in different directions. A uniaxial tension test was conducted to demonstrate the effectiveness and practicality of this self-correction method. Compared with other correction methods, this method is not only simpler but also more efficient in correcting errors due to the lens distortion caused by self-heating. Both the experiment and theoretical analyses demonstrate that this self-correction method maintains the high accuracy of the digital image correlation method.

Projection Geometric Correction for Screen Pattern

2012 ◽  
Vol 263-266 ◽  
pp. 2414-2417
Author(s):  
Cheng Han ◽  
Jing Tao Fan ◽  
Zhen Gang Jiang
Keyword(s):  
Three Dimensional ◽  
Correction Method ◽  
Geometric Correction ◽  
Research Focus ◽  
Projection System ◽  
Projected Image ◽  
Projection Screen ◽  
Irregular Free Surface ◽  
Three Dimensional Coordinate ◽  
Screen Surface

In the projection system, the projected image should be able to meet the normal visual needs of observer, so that the viewer can get the correct projection. When the projection screen surface is the irregular free surface, the projection geometric correction of the projected image becomes the research focus. For the question of irregular projection screen surface, this paper presents effective geometric correction method. The geometric correction method based on the geometry of irregular projection screen surface and ideal location of viewport to calculate the points’ three-dimensional coordinate values. In this paper, the projection geometric correction method is widely applicable to various projection screen surface environments.

scholarly journals Accurate binocular stereo underwater measurement method

2019 ◽  
Vol 16 (5) ◽  
pp. 172988141986446
Author(s):  
Xiaojun Wu ◽  
XingCan Tang
Keyword(s):  
Measurement Accuracy ◽  
Calibration Method ◽  
Correction Method ◽  
Image Correction ◽  
Underwater Imaging ◽  
Epipolar Constraint ◽  
Imaging Model ◽  
Internal Parameters ◽  
Extrinsic Parameters ◽  
Binocular Stereo

Light changes its direction of propagation before entering a camera enclosed in a waterproof housing owing to refraction, which means that perspective imaging models in the air cannot be directly used underwater. In this article, we propose an accurate binocular stereo measurement system in an underwater environment. First, based on the physical underwater imaging model without approximation and Tsai’s calibration method, the proposed system is calibrated to acquire the extrinsic parameters, as the internal parameters can be pre-calibrated in air. Then, based on the calibrated camera parameters, an image correction method is proposed to convert the underwater images to air images. Thus, the epipolar constraint can be used to search the matching point directly. The experimental results show that the proposed method in this article can effectively eliminate the effect of refraction in the binocular vision and the measurement accuracy can be compared with the measurement result in air.

The Research of Geometric Rectification of Aerial Image for Miniature Unmanned Aerial Vehicle

2013 ◽  
Vol 392 ◽  
pp. 257-260
Author(s):  
Xiao Gang Liu ◽  
Jin Li Li
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Attitude Change ◽  
Aerial Imagery ◽  
Geometric Distortion ◽  
Aerial Image ◽  
Target Area ◽  
Geometric Correction ◽  
Correction Model ◽  
Distortion Analysis ◽  
Aerial Vehicle

The unmanned aerial vehicle (UAV) aerial technology increasingly been widely used and attention, this paper first describes the cause of geometric distortion of aerial image, and then using Denavit-Hartenberg (D-H) theory on the flight attitude change of the UAV has led to the phenomenon of image distortion analysis, and the establishment of corresponding image geometric correction model. The terrain is relatively flat areas near a school in Guilin as an aerial target area, geometric correction processing the acquired aerial imagery, experimental results show the effectiveness of the method.

Image Mosaics Algorithm Combined Feature Point Matching with Transformation Parameters

2013 ◽  
Vol 380-384 ◽  
pp. 4136-4139
Author(s):  
Peng Rui Qiu ◽  
Ying Liang ◽  
Hui Rong
Keyword(s):  
Projective Transformation ◽  
Feature Point ◽  
Image Mosaic ◽  
Feature Points ◽  
Geometric Information ◽  
Point Matching ◽  
Feature Point Matching ◽  
Transformation Parameters ◽  
Relationship Of ◽  
The Relationship

To solve the problem of the large amount of calculation, poor robustness and do not well in image mosaic of images who are in different scales in the traditional image mosaic method ,the article arise a mosaic algorithm of different scales images registration and adaptive. Through feature point matching and automatically recognizing of transform geometric parameters between images,It achieves the match and mosaic of different scale and rotated images. First, using SIFT to extract the feature points of the images and matching feature points according to the principal of mutual information maximum. Then based on the geometric information of the matching pairs, automatically recognize the relationship of transformation parameters. In the end, obtain the projective transformation and achieve the image stable mosaic.

Efficient High-Precision Feature Extraction Method in Side Scan Sonar Image

2014 ◽  
Vol 678 ◽  
pp. 197-200 ◽  
Author(s):  
Lei Peng
Keyword(s):  
Data Processing ◽  
Correction Method ◽  
Geometric Correction ◽  
Processing Efficiency ◽  
Side Scan Sonar ◽  
Feature Extraction Method ◽  
Sonar Image ◽  
Data Processing Software ◽  
Data Production ◽  
Processing Software

Side scan sonar image has disadvantages such as low-resolution, poor image quality, random factors’? disturbance, these disadvantages cause the sonar image less visual perception, poor readability and many other shortcomings. In this paper, geometric correction method and image processing technology were studied, and also a data processing software was developed to improve the side scan sonar data processing from two aspects of data production accuracy and processing efficiency.

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