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Camera geolocation using digital elevation models in hilly area
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Pan, Zhibin, Tang, Jin, Tjahjadi, Tardi, Xiao, Xiaoming and Wu, Zhihu (2020) Camera geolocation using digital elevation models in hilly area. Applied Sciences, 10 (19). 6661. doi:10.3390/app10196661 ISSN 2076-3417.
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Official URL: http://dx.doi.org/10.3390/app10196661
Abstract
he 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.
Item Type: | Journal Article | ||||||
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Subjects: | G Geography. Anthropology. Recreation > G Geography (General) | ||||||
Divisions: | Faculty of Science, Engineering and Medicine > Engineering > Engineering | ||||||
Library of Congress Subject Headings (LCSH): | Geospatial data -- Computer programs, Geographic information systems, Pattern perception, Mobile communication systems, Wireless communication systems, Mobile geographic information systems | ||||||
Journal or Publication Title: | Applied Sciences | ||||||
Publisher: | MDPI | ||||||
ISSN: | 2076-3417 | ||||||
Official Date: | 23 September 2020 | ||||||
Dates: |
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Volume: | 10 | ||||||
Number: | 19 | ||||||
Article Number: | 6661 | ||||||
DOI: | 10.3390/app10196661 | ||||||
Status: | Peer Reviewed | ||||||
Publication Status: | Published | ||||||
Access rights to Published version: | Open Access (Creative Commons) | ||||||
Date of first compliant deposit: | 5 October 2020 | ||||||
Date of first compliant Open Access: | 6 October 2020 |
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