TY - GEN
T1 - Optical Stealth Algorithm Under Photoelectric Countermeasures and Its Effectiveness Evaluation
AU - Yang, Zhonglin
AU - Jiang, Yutong
AU - Li, Junbao
AU - Li, Qiong
N1 - Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
PY - 2023
Y1 - 2023
N2 - With the diversification of reconnaissance equipment and methods in the military field, optical stealth technology has become a hot spot in military research under the operational needs of optoelectronic confrontation. An improved self-adaptive visible light and infrared waveband stealth algorithm is proposed here, and its effectiveness under photoelectric confrontation is evaluated. The current digital camouflage design method is mainly through background color mixing, image segmentation, spot combination, etc. It has the defects of smooth and clear edge contour, fixed color/texture scene, and cannot adapt to complex texture background or multiple types of scenes. An improved digital camouflage design method based on fuzzy C-means clustering (FCM) image processing technology is proposed to obtain the color characteristics of the background image. Then, the color block types of the camouflage spots are acquired to reduce the loss of texture information of the background image caused by clustering or segmentation to avoid the phenomenon of clear boundaries caused by single region segmentation. The results show that the use of adaptive optical stealth algorithms in the visible and infrared bands can reduce the probability of being discovered in optoelectronic countermeasures, thereby gaining a head start.
AB - With the diversification of reconnaissance equipment and methods in the military field, optical stealth technology has become a hot spot in military research under the operational needs of optoelectronic confrontation. An improved self-adaptive visible light and infrared waveband stealth algorithm is proposed here, and its effectiveness under photoelectric confrontation is evaluated. The current digital camouflage design method is mainly through background color mixing, image segmentation, spot combination, etc. It has the defects of smooth and clear edge contour, fixed color/texture scene, and cannot adapt to complex texture background or multiple types of scenes. An improved digital camouflage design method based on fuzzy C-means clustering (FCM) image processing technology is proposed to obtain the color characteristics of the background image. Then, the color block types of the camouflage spots are acquired to reduce the loss of texture information of the background image caused by clustering or segmentation to avoid the phenomenon of clear boundaries caused by single region segmentation. The results show that the use of adaptive optical stealth algorithms in the visible and infrared bands can reduce the probability of being discovered in optoelectronic countermeasures, thereby gaining a head start.
KW - Adaptive
KW - Digital camouflage
KW - Evaluation index
KW - Optical stealth performance
KW - Photoelectric countermeasures
UR - https://www.scopus.com/pages/publications/85163309296
U2 - 10.1007/978-981-99-0105-0_27
DO - 10.1007/978-981-99-0105-0_27
M3 - 会议稿件
AN - SCOPUS:85163309296
SN - 9789819901043
T3 - Smart Innovation, Systems and Technologies
SP - 301
EP - 309
BT - Advances in Intelligent Information Hiding and Multimedia Signal Processing - Proceeding of the 18th IIH-MSP 2022
A2 - Kondo, Kazuhiro
A2 - Horng, Mong-Fong
A2 - Pan, Jeng-Shyang
A2 - Hu, Pei
PB - Springer Science and Business Media Deutschland GmbH
T2 - 18th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2022
Y2 - 16 December 2022 through 18 December 2022
ER -