A buffer method for calculating the fractal dimension of map surface objects

Beibei Wu; Qing Xu; Ruoxu Chen; Longhao Wang; Liping Guo

doi:10.1117/12.2667420

10 February 2023 A buffer method for calculating the fractal dimension of map surface objects

Beibei Wu, Qing Xu, Ruoxu Chen, Longhao Wang, Liping Guo

Author Affiliations +

Proceedings Volume 12552, International Conference on Geographic Information and Remote Sensing Technology (GIRST 2022); 125521X (2023) https://doi.org/10.1117/12.2667420
Event: International Conference on Geographic Information and Remote Sensing Technology (GIRST 2022), 2022, Kunming, China

Abstract

Map information measurement plays a very important role in map information transmission. It is an important prerequisite for evaluating cartographic quality, guiding map generalization and realizing map information transmission process, while fractal dimension is a measurement method for fractal spatial effectiveness. At present, there are few studies on the fractal dimension of map surface objects, and the area index cannot be used as a standard for measuring spatial information. The commonly used fractal dimension calculation methods have certain limitations. Based on the existing buffer method to calculate the fractal dimension of line objects, this paper proposes a buffer method to calculate the fractal dimension of the map surface objects, the correspondence between buffer radius and the area of surface objects is constructed to overcome the shortcomings of the existing methods. Experiments are verified and compared with the calculation results of the box counting method, which proves that the method in this paper is closer to the real value.

Citation Download Citation

Beibei Wu, Qing Xu, Ruoxu Chen, Longhao Wang, and Liping Guo "A buffer method for calculating the fractal dimension of map surface objects", Proc. SPIE 12552, International Conference on Geographic Information and Remote Sensing Technology (GIRST 2022), 125521X (10 February 2023); https://doi.org/10.1117/12.2667420

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