Abstract
To detect the horizon for the UAV attitude measurement based on the visual navigation, a horizon detection algorithm based on the dark channel prior in foggy weather is proposed. This algorithm firstly uses the principle of dark channel prior for the haze removal to get the dark channel image, then uses horizontal and vertical Sobel operator to carry on edge detection on the dark channel image, getting the binary image. Finally, detect the horizon through the method of rotating image. Experiment result shows that, this algorithm can effectively detect the horizon and is robust to some complex scenes.
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.
