A hybrid terrain data compression method in unity for deployment on resource-limited devices

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Authors

  • Luu Van Sang (Corresponding Author) Institute of Information Technology, Academy of Military Science and Technology
  • Vu Hoang Minh Institute of Information Technology, Academy of Military Science and Technology
  • Tran Binh Minh Institute of Information Technology, Academy of Military Science and Technology
  • Nguyen Van Trung Military Academy of Logistics
  • Nguyen Anh Tuan Faculty of Basic Science, Air Defence-Air Force Academy
  • Dang Duc Trinh Faculty of Maths-Informatics, Military Medical University

DOI:

https://doi.org/10.54939/1859-1043.j.mst.94.2024.130-138

Keywords:

Terrain data; Data compression; Unity; Resource-limited devices.

Abstract

With geographic information systems in general and simulation systems in particular, terrain data takes up most of the hard drive space and is often deployed on data servers. The higher the resolution of the terrain data, the more detailed it is, the larger the space occupied on the hard drive. If terrain data needs to be deployed offline on resource-limited devices such as minicomputers, it will face many difficulties due to hard drive space limitations. Terrain data compression is a solution that reduces terrain capacity to overcome that problem. This article presents an efficient hybrid approach based on Brotli and LZ4 compression algorithms to compress terrain data for deployment on resource-limited devices. Experimental results show that the proposed method significantly reduces the volume of terrain data compared to using each component algorithm independently while still ensuring quality.

References

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Published

22-04-2024

How to Cite

Luu Van Sang, Vu Hoang Minh, Tran Binh Minh, Nguyen Van Trung, Nguyen Anh Tuan, and Dang Duc Trinh. “A Hybrid Terrain Data Compression Method in Unity for Deployment on Resource-Limited Devices”. Journal of Military Science and Technology, vol. 94, no. 94, Apr. 2024, pp. 130-8, doi:10.54939/1859-1043.j.mst.94.2024.130-138.

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Section

Information technology & Applied mathematics

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