@inproceedings{1686c027ef5e4611854c85619aee3e5d,
title = "Research on horizon detection algorithm based on dark channel prior for images captured by UAV",
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.",
keywords = "Dark channel prior, Edge detection, Horizon detection, UAV, Visual navigation",
author = "Xu, \{Bei Bei\} and Li Jie and Guan, \{Zhen Yu\} and Huan Yang and He Zhang",
year = "2014",
doi = "10.4028/www.scientific.net/AMM.496-500.1853",
language = "English",
isbn = "9783037859926",
series = "Applied Mechanics and Materials",
pages = "1853--1856",
booktitle = "Frontiers of Manufacturing and Design Science IV",
note = "4th International Conference on Frontiers of Manufacturing and Design Science, ICFMD 2013 ; Conference date: 10-09-2013 Through 12-09-2013",
}