Research on multi-granularity division method based on quotient space geographic entities

Miaolin Li

doi:10.1117/12.3019582

23 January 2024 Research on multi-granularity division method based on quotient space geographic entities

Miaolin Li

Proceedings Volume 12978, Fourth International Conference on Geology, Mapping, and Remote Sensing (ICGMRS 2023); 129782Q (2024) https://doi.org/10.1117/12.3019582
Event: 2023 4th International Conference on Geology, Mapping and Remote Sensing (ICGMRS 2023), 2023, wuhan, China

Abstract

At present, in the related research on geographical entity division, 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 geographic entities at different granularity levels. Firstly, the conditions that can be divided into geographical entities within the same granularity are determined. Then, the granularity partition model of 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 geographic entity scenarios.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Miaolin Li "Research on multi-granularity division method based on quotient space geographic entities", Proc. SPIE 12978, Fourth International Conference on Geology, Mapping, and Remote Sensing (ICGMRS 2023), 129782Q (23 January 2024); https://doi.org/10.1117/12.3019582

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