Granularity classification method for highways based on granularity synthesis in quotient space

Miaolin Li; Tao Shen; Liang Huo; Tianjia Zhang; Fulin Han; Kelong Yang

doi:10.1117/12.2668173

23 February 2023 Granularity classification method for highways based on granularity synthesis in quotient space

Miaolin Li, Tao Shen, Liang Huo, Tianjia Zhang, Fulin Han, Kelong Yang

Proceedings Volume 12551, Fourth International Conference on Geoscience and Remote Sensing Mapping (GRSM 2022); 125512H (2023) https://doi.org/10.1117/12.2668173
Event: Fourth International Conference on Geoscience and Remote Sensing Mapping (GRSM 2022), 2022, Changchun, China

Abstract

At present, in the related research of 3D line scene, the multi-scale expression method is mostly used to describe the detail degree of geographical features, and there is a lack of a method to describe objects from the perspective of granularity, so it is hard to meet the application requirements of objects in different scenarios. This paper introduces quotient space theory and proposes a representation method of highway geographic entities at different granularity levels. Firstly, the conditions that can be divided into highway geographical entities within the same granularity are determined. Then, the granularity partition model of highway geographic entities is constructed from three aspects: text similarity, literal similarity and semantic distance similarity. Finally, each quotient space is organized by the theory of quotient space particle size synthesis, and the whole geographical entity is divided into multiple granularities, and the experimental verification is carried out. The results show that the method can well meet the multi-level and multi-granularity requirements of geographic entities, and realize the hierarchical optimization of expressway scenes.

Citation Download Citation

Miaolin Li, Tao Shen, Liang Huo, Tianjia Zhang, Fulin Han, and Kelong Yang "Granularity classification method for highways based on granularity synthesis in quotient space", Proc. SPIE 12551, Fourth International Conference on Geoscience and Remote Sensing Mapping (GRSM 2022), 125512H (23 February 2023); https://doi.org/10.1117/12.2668173

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