Battlefield situation aggregation display technology based on meanshift

Hang Zhang

doi:10.1117/12.2660264

3 February 2023 Battlefield situation aggregation display technology based on meanshift

Hang Zhang

Proceedings Volume 12511, Third International Conference on Computer Vision and Data Mining (ICCVDM 2022); 125111Y (2023) https://doi.org/10.1117/12.2660264
Event: Third International Conference on Computer Vision and Data Mining (ICCVDM 2022), 2022, Hulun Buir, China

Abstract

In recent years, with the continuous development of battlefield situation technology and the continuous improvement of battlefield information collection capabilities, the types and quantities of targets on the battlefield are diversified. This complicates and confuses the presentation of the plot, and the expression of the plot information is not clear enough. In order to give full play to the prompting and labeling function of the plot, solve the problem of display confusion and delineate the formation of unknown units, the clustering algorithm will be used to aggregate the neighboring plots. As a multi-resolution display of the map, the aggregation range needs to be adaptively adjusted according to the resolution. In this paper, the clustering algorithm of double mean shift is used to perform unit formation clustering on the plot, and cluster display. By designing the adaptive bandwidth aggregation formation based on the unit density change and the adaptive bandwidth based on the scale change, the map drawing can be displayed intelligently.

Citation Download Citation

Hang Zhang "Battlefield situation aggregation display technology based on meanshift", Proc. SPIE 12511, Third International Conference on Computer Vision and Data Mining (ICCVDM 2022), 125111Y (3 February 2023); https://doi.org/10.1117/12.2660264

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