Abstract
For the purpose of correcting the distortion of the large-field-of-view lens used on aerial cameras, this paper proposed a method using the Matlab calib_ toolbox. By calibrating the captured images of a range of angles-of-view and distances, the internal parameters and distortion coefficients of the camera were obtained, and the correct mathematical model of distortion correction was built. The proposed method made an improvement on the Bouguet method, and extended its applications to distortion correction of color images for airborne cameras via subsequent programming. Furthermore, a new and efficient backstepping reconstruction pattern matching method for image-distortion-rate analysis was proposed, which quantified the level of distortion. The simulation results show that the proposed method reduces the distortion rate of color images averagely by about 10%. As all the experimental results indicate, the proposed method is simple and efficient, and it is convenient to be readily transplanted to hardware platform for real-time image distortion correction.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
