Overview of Research on Camouflage Effect Evaluation Technology
DOI: https://doi.org/10.62517/jes.202502214
Author(s)
Dianbo Jia*, Junwei Wang, Xiaohui Hu, Hongfei Bu
Affiliation(s)
Unit 32149 of PLA, Henan, China
*Corresponding Author
Abstract
With the rapid development of modern reconnaissance technology, the battlefield environment has put forward higher requirements for the evaluation of camouflage effectiveness. The widespread application of multi-sensor collaborative reconnaissance such as optics, infrared, and radar makes it difficult to fully reflect the stealth ability of targets in complex environments by evaluating the camouflage effect of a single band. The evaluation of camouflage effect, as a key link in verifying the effectiveness of camouflage technology, not only provides a basis for optimizing camouflage design, but also directly affects the survival ability and combat effectiveness of military targets. This article focuses on the evaluation of camouflage effects, starting from the evaluation mechanisms of optical, infrared, and radar bands. It systematically reviews the current application status of evaluation methods, deeply explores the key technologies and challenges of multispectral fusion evaluation technology, and analyzes the application value of evaluation technology with practical cases. Finally, it looks forward to future development trends, in order to provide comprehensive references for theoretical innovation and technological progress in camouflage effect evaluation.
Keywords
Camouflage Effect Evaluation; Multispectral Fusion; Optical Camouflage; Infrared Camouflage; Radar Camouflage; Information Fusion; Deep Learning
References
[1] Marinho, J., Granjal, J. & Monteiro, E. A survey on security attacks and countermeasures with primary user detection in cognitive radio networks. EURASIP J. on Info. Security 2015, 4 (2015). https://doi.org/10.1186/s13635-015-0021-0
[2] Cheng, X. P. (2021). Research on real-time evaluation of the camouflage effectiveness of infrared targets under complex background conditions (Doctoral dissertation). National University of Defense Technology, Changsha, China.
[3] Gao, F. Y., & Han, X. M. (2004). Camouflage and effectiveness evaluation of surface-to-air missile positions. Modern Defence Technology, 32(4), 22-24.
[4] Jia, Q. (2017). Research on camouflage effect detection simulation system (Master's thesis). Changchun University of Science and Technology, Changchun, China.
[5] Jiao, X. Y. (2012). Research on camouflage pattern evaluation indicators and camouflage effectiveness assessment (Master's thesis). Northeastern University, Shenyang, China.
[6] Yang, D. (2023). Evaluation method of camouflage effectiveness in dynamic 3D scenes (Master's thesis). Jiangnan University, Wuxi, China.
[7] Wang, C., Zhang, L., & Li, J. (2012). Analysis and study of multi-band compatible camouflage methods. Ordnance Material Science and Engineering, 35(5), 92-95.
[8] Qi, W. J. (2023). Research on key techniques of camouflage assessment for complex background (Master's thesis). Beijing University of Posts and Telecommunications, Beijing, China.
[9] Riberolles, T. D., Moreau, J., & Dupont, L. (n.d.). Anomaly detection for ICS based on deep learning: A use case for aeronautical radar data. 2022, 77(11): 749-761.DOI:10.1007/s12243-021-00902-7.
[10] Ding, P. Y. (2023). Evaluation of camouflage effectiveness based on multidimensional features and visual salience (Master's thesis). Nanjing University of Aeronautics and Astronautics, Nanjing, China.
[11] Zhang, X. (2023). Optical camouflage effectiveness test and online evaluation based on UAV platform (Master's thesis). Harbin Engineering University, Harbin, China.
[12] Zhang, W. Q. (2019). Spatial color mixing modeling of digital camouflage and camouflage effectiveness evaluation (Master's thesis). Xi'an Technological University, Xi'an, China.
[13] Yang, X., Li, W., & Chen, K. (2019). A camouflage effect detection model for fixed targets. IOP Conference Series: Journal of Physics, 1234(1), 012345. https://doi.org/10.1088/1742-6596/1234/1/012345
[14] Wen, Y. Z. (2023). Research on evaluation methods of dynamic camouflage effect based on visible light image (Master's thesis). Harbin Engineering University, Harbin, China.
[15] Wang, K. D. (2022). Research on camouflage concealment assessment based on eye-tracking data (Master of Engineering thesis). Tianjin Polytechnic University, Tianjin, China.
[16] Luo, H. (2024). Research on the evaluation methods of thermal infrared camouflage effect (Master's thesis). Harbin Engineering University, Harbin, China.
[17] Yu, Y. J. (2021). Simulation calculation and effect evaluation of infrared camouflage target (Master's thesis). Nanjing University of Science & Technology, Nanjing, China.
[18] Yang, B. W. (Trans.). (n.d.). Research on anti-radar camouflage of ballistic missiles and related aerodynamic excitation functions . Modern Defense Technology, 2004, 32(4), 22-24.
[19] Sun, Y. H., & Zhao, B. (2004). Research on jamming measures against synthetic aperture radar. Electro-Optic Technology Application, 19(4), 48-53.
[20] Zhang, N., Wang, T., & Liu, Y. (2009). A study on application of anti-radar camouflage equipment of dock. Modern Radar, 31(11), 29-31.
[21] Qu, L. Y., Chen, W., & Zhang, R. (2015). Chaff cloud jamming model and simulation analysis. Modern Defence Technology, 43(3), 98-101.
[22] Cui, C. A., Li, J. H., & Wang, X. (2008). Radar wave attenuation by soil layer and anti-radar camouflage performance analysis of shallow-buried structures. Journal of PLA University of Science and Technology (Natural Science Edition), 9(2), 161-164.
[23] Yu, Y. J. (2012). Methods and measures of anti-radar reconnaissance camouflage technology. Mass Culture, 2012(4 Suppl.), 237.
[24] Ling, Q., Zhao, Y., & Wu, G. (2023). Range deception jamming performance evaluation for moving targets in a ground-based radar network. Electronics, 12, 1614. https://doi.org/10.3390/electronics12071614
[25] Zhang, X. Z., & Huang, P. K. (2011). Camouflage performance evaluation of land military targets based on GB-SAR. Packaging Engineering, 32(23), 141-145.