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

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.

Authors

Institutions

Publication Details

Journal
Nature Communications
Published
2025-08-30
DOI
https://doi.org/10.1038/s41467-025-63563-3
Citations
16
Primary Topic
Infrared Target Detection Methodologies
Type
article
Field-Weighted Citation Impact
79.90

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Rongxuan Zhu, Bing Qin, Zixian Su, Lijuan Xie et al.
16 citations
Nature Communications
Infrared Target Detection Methodologies
79.90
article

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

Rongxuan Zhu, Bing Qin, Zixian Su, Lijuan Xie, Huanzheng Zhu, Wenzhe Yao, Jiangtao Huangfu, Pintu Ghosh, Min Qiu, Hongbin Ma, Qiang Li, Meng Zhao, Neng Yu
article en
16 citations

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.

Nature CommunicationsVol. 16(1)
Westlake University (CN), China Agricultural University (CN), Zhejiang University of Technology (CN), Zhejiang University (CN)
National Natural Science Foundation of China, China Postdoctoral Science Foundation, Zhejiang University, National Key Research and Development Program of China
Affordable and clean energy
Openalex Percentile: Top 0%
Infrared Target Detection Methodologies
79.90
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.