Development of an Integrated System for Real-time EO/IR Image Restoration and Object Recognition in Battlefield Environments 


Vol. 51,  No. 1, pp. 184-194, Jan.  2026
10.7840/kics.2026.51.1.184


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  Abstract

Modern military technology demands real-time situational awareness capabilities in highly dynamic and unpredictable battlefield environments. In this paper, we propose an integrated image restoration and recognition system that restores and recognizes battlefield objects occluded by obstacles in real time. The proposed system consists of a restoration module based on the decoupled spatial-temporal transformer (DSTT) and a recognition module based on RT-DETR. To achieve spatiotemporal continuity and fast inference speed of the restoration module, the online restoration and memory bank techniques are applied. In addition, the recognition module is optimized using TensorRT to enable high-speed processing. Finally, a dataset is constructed using a battlefield virtual environment simulator, and experimental results are presented to verify the feasibility of the proposed system by showing improved recognition accuracy and inference speed of more than 20 fps, which are the main goals of this paper.

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[IEEE Style]

K. Lee, J. Kim, C. Lee, "Development of an Integrated System for Real-time EO/IR Image Restoration and Object Recognition in Battlefield Environments," The Journal of Korean Institute of Communications and Information Sciences, vol. 51, no. 1, pp. 184-194, 2026. DOI: 10.7840/kics.2026.51.1.184.

[ACM Style]

Kwangil Lee, Jaehwan Kim, and Chang-Eun Lee. 2026. Development of an Integrated System for Real-time EO/IR Image Restoration and Object Recognition in Battlefield Environments. The Journal of Korean Institute of Communications and Information Sciences, 51, 1, (2026), 184-194. DOI: 10.7840/kics.2026.51.1.184.

[KICS Style]

Kwangil Lee, Jaehwan Kim, Chang-Eun Lee, "Development of an Integrated System for Real-time EO/IR Image Restoration and Object Recognition in Battlefield Environments," The Journal of Korean Institute of Communications and Information Sciences, vol. 51, no. 1, pp. 184-194, 1. 2026. (https://doi.org/10.7840/kics.2026.51.1.184)
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pISSN : 1226 - 4717
eISSN : 2287 - 3880