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Keywords = enhanced angle chain code

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24 pages, 10092 KB  
Article
Camera Geolocation Using Digital Elevation Models in Hilly Area
by Zhibin Pan, Jin Tang, Tardi Tjahjadi, Xiaoming Xiao and Zhihu Wu
Appl. Sci. 2020, 10(19), 6661; https://doi.org/10.3390/app10196661 - 23 Sep 2020
Cited by 3 | Viewed by 3154
Abstract
The geolocation of skyline provides an important application in unmanned vehicles, unmanned aerial vehicles, and other fields. However, the existing methods are not effective in hilly areas. In this paper, we analyze the difficulties to locate in hilly areas and propose a new [...] Read more.
The geolocation of skyline provides an important application in unmanned vehicles, unmanned aerial vehicles, and other fields. However, the existing methods are not effective in hilly areas. In this paper, we analyze the difficulties to locate in hilly areas and propose a new geolocation method. According to the vegetation in hilly area, two new skyline features, enhanced angle chain code and lapel point, are proposed. In order to deal with the skyline being close to the camera, we also propose a matching method which incorporates skyline distance heatmap and skyline pyramid. The experimental results show that the proposed method is highly effective in hilly area and has a robust performance against noise and rotation effects. Full article
(This article belongs to the Special Issue Future Intelligent Transportation System for Tomorrow and Beyond)
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