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Fast geo-location method based on panoramic skyline in hilly area
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Pan, Zhibin, Tang, Jin, Tjahjadi, Tardi and Guo, Fan (2021) Fast geo-location method based on panoramic skyline in hilly area. ISPRS International Journal of Geo-Information, 10 (8). 537. doi:10.3390/ijgi10080537 ISSN 2220-9964.
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Official URL: https://doi.org/10.3390/ijgi10080537
Abstract
Localization method based on skyline for visual geo-location is an important auxiliary localization method that does not use a satellite positioning system. Due to the computational complexity, existing panoramic skyline localization methods determine a small area using prior knowledge or auxiliary sensors. After correcting the camera orientation using inertial navigation sensors, a fine position is achieved via the skyline. In this paper, a new panoramic skyline localization method is proposed that involves the following. By clustering the sampling points in the location area and improving the existing retrieval method, the computing efficiency of the panoramic skyline localization is increased by fourfold. Furthermore, the camera orientation is estimated accurately from the terrain features in the image. Experimental results show that the proposed method achieves higher localization accuracy and requires less computation for a large area without the aid of external sensors.
Item Type: | Journal Article | ||||||
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Subjects: | Q Science > Q Science (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering |
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Divisions: | Faculty of Science, Engineering and Medicine > Engineering > Engineering | ||||||
SWORD Depositor: | Library Publications Router | ||||||
Library of Congress Subject Headings (LCSH): | Computer vision, Geographic information systems, Location-based services, Pattern recognition systems | ||||||
Journal or Publication Title: | ISPRS International Journal of Geo-Information | ||||||
Publisher: | M D P I AG | ||||||
ISSN: | 2220-9964 | ||||||
Official Date: | 9 August 2021 | ||||||
Dates: |
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Volume: | 10 | ||||||
Number: | 8 | ||||||
Article Number: | 537 | ||||||
DOI: | 10.3390/ijgi10080537 | ||||||
Status: | Peer Reviewed | ||||||
Publication Status: | Published | ||||||
Access rights to Published version: | Open Access (Creative Commons) | ||||||
Date of first compliant deposit: | 13 August 2021 | ||||||
Date of first compliant Open Access: | 16 August 2021 | ||||||
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