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Title:
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SPECIFICS OF IMPLEMENTING A HYBRID
INTELLIGENT IMAGE GEOREFERENCING SYSTEM |
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Author(s):
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Dmitry V. Berezkin, Andrew V. Proletarsky, Nadezhda A. Sukhorukova and Ruslan A. Kamalov |
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ISBN:
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978-989-8704-24-5 |
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Editors:
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Hans Weghorn |
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Year:
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2020 |
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Edition:
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Single |
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Keywords:
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Geolocation Estimation, Scene Classification, Hybrid Artificial Intelligence, Computer Vision, Digital Image Processing,
Neural Network, Deep Learning |
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Type:
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Full |
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First Page:
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115 |
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Last Page:
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118 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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The ability to determine the coordinates of objects from their photos is an urgent task and can be used in the analysis of
unstructured information in social networks, to solve new problems in the field of IoT and BigData. The article develops
the approach to geolocation of photos proposed by the authors in previous works and is devoted to the implementation of
artificial intelligence and computer vision methods used to solve this problem. The questions of selection, design, and
training of a neural network are considered, and the results of final experiments on determining the geolocation of photos
are presented. |
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