An Intelligent Multi‐Band Camouflage Textile Inspired by Natural Leaves

Abstract An ideal optical camouflage technology requires the ability to simultaneously counter visible light, hyperspectral, and thermal infrared detection. However, developing intelligent camouflage materials with multi‐band and all‐time stealth capabilities remains a significant challenge. Inspired by the transpiration effect and spectral characteristics of plant leaves, in this work, a biomimetic multilayer fiber fabric is developed via electrospinning technology, which successfully replicated the visible‐light, hyperspectral, and thermal infrared detectability properties exhibited by natural leaves. Specifically, incorporating a gradient porous structure in the multilayer fibers enabled the simulation of directional water transport and transpiration cooling effects observed in plants. This design achieved an evaporation rate of 0.84 kg m −2 h −1 while maintaining a maximum temperature difference within 1.01 °C compared with plants. Moreover, precise pigment formulations and multilayer fiber structures accurately mimicked the key spectral absorption and reflection mechanisms of natural leaves, effectively deceiving hyperspectral classification algorithms against leafy backgrounds by manipulating the visible and near‐infrared spectra curves. The composite fibers also exhibited reversible color changes, imitating the different growth stages of leaves. This nature‐inspired electrospun fiber design strategy enhanced the optical performance control of camouflage materials, offering a novel approach to achieving comprehensive multi‐band all‐time concealment within plant environments.

Authors

Institutions

Publication Details

Journal
Advanced Functional Materials
Published
2025-03-26
DOI
https://doi.org/10.1002/adfm.202424325
Citations
8
Primary Topic
Remote Sensing and Land Use
Type
article
Field-Weighted Citation Impact
10.41

Funders

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

An Intelligent Multi‐Band Camouflage Textile Inspired by Natural Leaves

Xiaolong Qing, Le Yuan, Chongyang Jiang, Xiaodong Ma et al.
8 citations
Advanced Functional Materials
Remote Sensing and Land Use
10.41
article

An Intelligent Multi‐Band Camouflage Textile Inspired by Natural Leaves

Xiaolong Qing, Le Yuan, Chongyang Jiang, Xiaodong Ma, Peipei Wei, Xiaolong Weng
article en
8 citations

Abstract

Abstract An ideal optical camouflage technology requires the ability to simultaneously counter visible light, hyperspectral, and thermal infrared detection. However, developing intelligent camouflage materials with multi‐band and all‐time stealth capabilities remains a significant challenge. Inspired by the transpiration effect and spectral characteristics of plant leaves, in this work, a biomimetic multilayer fiber fabric is developed via electrospinning technology, which successfully replicated the visible‐light, hyperspectral, and thermal infrared detectability properties exhibited by natural leaves. Specifically, incorporating a gradient porous structure in the multilayer fibers enabled the simulation of directional water transport and transpiration cooling effects observed in plants. This design achieved an evaporation rate of 0.84 kg m −2 h −1 while maintaining a maximum temperature difference within 1.01 °C compared with plants. Moreover, precise pigment formulations and multilayer fiber structures accurately mimicked the key spectral absorption and reflection mechanisms of natural leaves, effectively deceiving hyperspectral classification algorithms against leafy backgrounds by manipulating the visible and near‐infrared spectra curves. The composite fibers also exhibited reversible color changes, imitating the different growth stages of leaves. This nature‐inspired electrospun fiber design strategy enhanced the optical performance control of camouflage materials, offering a novel approach to achieving comprehensive multi‐band all‐time concealment within plant environments.

Advanced Functional MaterialsVol. 35(35)
Xihua University (CN), University of Electronic Science and Technology of China (CN), National Engineering Research Center of Electromagnetic Radiation Control Materials (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 1%
Remote Sensing and Land Use
10.41
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.