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Digital camouflage encompassing optical hyperspectra and thermal infrared-terahertz-microwave tri-bands

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  • Rongxuan Zhu

    (Zhejiang University)

  • Huanzheng Zhu

    (Zhejiang University)

  • Bing Qin

    (Zhejiang University)

  • Wenzhe Yao

    (Zhejiang University)

  • Meng Zhao

    (Zhejiang University)

  • Neng Yu

    (Zhejiang University)

  • Zixian Su

    (Zhejiang University
    The National Key Laboratory of Agricultural Equipment Technology)

  • Lijuan Xie

    (Zhejiang University
    The National Key Laboratory of Agricultural Equipment Technology)

  • Hongbin Ma

    (Zhejiang University)

  • Jiangtao Huangfu

    (Zhejiang University)

  • Pintu Ghosh

    (Zhejiang University)

  • Min Qiu

    (Westlake University)

  • Qiang Li

    (Zhejiang University)

Abstract

Modern reconnaissance technologies, including hyperspectral and multispectral intensity imaging across optical, thermal infrared, terahertz, and microwave bands, can detect the shape, material composition, and temperature of targets. Consequently, developing a camouflage technique that seamlessly integrates both spatial and spectral dimensions across all key atmospheric windows to outsmart advanced surveillance has yet to be effectively developed and remains a significant challenge. In this study, we propose a digital camouflage strategy that covers the optical (0.4-2.5 μm) hyperspectra and thermal infrared-terahertz-microwave (thermal IR (MWIR and LWIR)/THz/MW) tri-bands, encompassing over 80% of atmospheric windows. In the optical band, the hyperspectral digital camouflage can simulate various vegetational spectra as primary colors, with deviation rate less than 0.2 (can be regarded as the same type of plant). In the tri-bands, it also produces multilevel intensity digital camouflage within each band. The average structural similarity among multiple digital camouflage patterns is approximately 0.52, which is favorable for multispectral pattern-background matching. This work introduces a new paradigm in ultra-broadband electromagnetic wave manipulation by combining hyper/multi-spectra and spatial distribution, offering deeper insights into imaging, image processing, and information encryption technologies.

Suggested Citation

  • Rongxuan Zhu & Huanzheng Zhu & Bing Qin & Wenzhe Yao & Meng Zhao & Neng Yu & Zixian Su & Lijuan Xie & Hongbin Ma & Jiangtao Huangfu & Pintu Ghosh & Min Qiu & Qiang Li, 2025. "Digital camouflage encompassing optical hyperspectra and thermal infrared-terahertz-microwave tri-bands," Nature Communications, Nature, vol. 16(1), pages 1-12, December.
  • Handle: RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-63563-3
    DOI: 10.1038/s41467-025-63563-3
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    References listed on IDEAS

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    1. Yan Jia & Dongqing Liu & Desui Chen & Yizheng Jin & Chen Chen & Jundong Tao & Haifeng Cheng & Shen Zhou & Baizhang Cheng & Xinfei Wang & Zhen Meng & Tianwen Liu, 2023. "Transparent dynamic infrared emissivity regulators," Nature Communications, Nature, vol. 14(1), pages 1-9, December.
    2. Yingyue Zhang & Hanrui Zhu & Shun An & Wenkui Xing & Benwei Fu & Peng Tao & Wen Shang & Jianbo Wu & Michael D. Dickey & Chengyi Song & Tao Deng, 2024. "Chameleon-inspired tunable multi-layered infrared-modulating system via stretchable liquid metal microdroplets in elastomer film," Nature Communications, Nature, vol. 15(1), pages 1-13, December.
    3. Joel Siegel & Shinho Kim & Margaret Fortman & Chenghao Wan & Mikhail A. Kats & Philip W. C. Hon & Luke Sweatlock & Min Seok Jang & Victor Watson Brar, 2024. "Electrostatic steering of thermal emission with active metasurface control of delocalized modes," Nature Communications, Nature, vol. 15(1), pages 1-7, December.
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