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- W3215611168 abstract "Similarity is the assessment of deviation from equivalence. Spatial scene similarity assessment is a hot topic in Geographic Information Science and has wide prospect in spatial analysis, spatial query, and map generalization, etc. Spatial scene similarity is usually employed to measure similarity between query spatial scene and various candidate scenes. The spatial relation between geographic objects are consisted of topological, directional, and distance. As they capture the essence of a scene's structure, conventional spatial scene similarity computation method builds synthetic evaluation models by adjusting coefficient among different parameters. In this paper, deep neural networks were introduced to assess the spatial scene similarity. More than 50 million map search case was used to train the model. The case data was from Tusou system, which was developed to search map via spatial scene by users' sketch. Experimental implement show that the new model understands users' intension better than current model." @default.
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- W3215611168 date "2021-11-03" @default.
- W3215611168 modified "2023-09-25" @default.
- W3215611168 title "Spatial scene similarity assessment based on deep learning" @default.
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- W3215611168 doi "https://doi.org/10.1145/3486182.3493911" @default.
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