Geo-Location Method for Images of Damaged Roads
نویسندگان
چکیده
Due to the large difference between normal conditions and damaged road images, geo-location in areas often fails due occlusion or damage buildings iconic signage image. In order study influence of post-war building landmark on geolocation results localization algorithms, improve effect such algorithms under conditions, this paper used informative reference images key point selection. Aiming at negative effects retrieval process, a method called reliability- repeatability-based deep learning feature points is proposed. verify effectiveness above algorithm, constructed data set consisting urban, rural technological parks other segments as training generate database. It consists 11,896 images. Considering cost landmarks, an artificially generated construct landmarks with different ratios test set. Experiments show that database optimization can effectively compress storage capacity index also speed up positioning without affecting accuracy rate. The proposed image optimizes indices make them reliable against terrain improved algorithm for roads, based has higher roads than traditional algorithm. Furthermore, we fully demonstrated our by constructing multi-segment dataset.
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ژورنال
عنوان ژورنال: Electronics
سال: 2022
ISSN: ['2079-9292']
DOI: https://doi.org/10.3390/electronics11162530