Abstract
Visible and near infrared spectra of “sixteen materials for textile coloration/finishing/patterning” such as titanium dioxide, calcium oxide, aluminum, tin metal, tin oxide, iron powder, boron carbide, magnesium powder, carbon black pigment, titanium carbide, isolan black 2S LDN, isolan orange, telon blue A 2R, telon red A 2R, telon violet 3R, and telon yellow A 2R; and ‘nine materials of combat backgrounds (CBs) such as dry leaves, green leaves, tree bark-woodland CB; water-marine CB; sand-desertland CB; stone-stoneland CB; snow-snowland CB; sky CB; and ice-iceland CB (DGTWSIB) are obtained by Fourier transform infrared spectrophotometry and colorflex EZ spectrophotometer. A method of ‘Monte Carlo cross validation’ was applied for spectral simulation in visible and near infrared spectrums through experimental data information. The characterized reflection spectra of zero reflection (ZR), low reflection (LR), high reflection (HR), and HR–LR (HLR) materials are coalesced and simulated for camouflage materials design and textile applications against multidimensional CBs, DGTWSIB. The reflections of aluminum, titanium dioxide, calcium oxide, tin metal, tin oxide, and iron powder are irradiated as HR materials. Oppositely boron carbide, magnesium powder, carbon black pigment, and titanium carbide are illuminated as LR materials. Consequently, the mixing principle of HR and LR materials are also classified as HLR materials. Spectral properties of CB materials are also depicted as ZR materials against selected CBs. Spectral signal of ZR, LR, HR, and HLR materials are identified as more expedient camouflage materials for concealment of target signature than six selected synthetic dyes such as Isolan Black 2S LDN, Isolan Orange, Telon Blue A 2R, Telon Red A 2R, Telon Violet 3R, and Telon Yellow A 2R. The reflection spectra of ZR, LR, HR, and HLR materials are simulated and correlated against DGTWSIB in visible and NIR spectrums. Simulated spectral signals are considered for camouflage materials design and camouflage textiles formulation against DGTWSIB combat location, the CBs are mostly practiced by defence professional. Furthermore, the reflection principle of camouflage textiles coloration/finishing/patterning has been accumulated under spectral signal of DGTWSIB, camouflage materials and synthetic dyes, synthetic dye–metal and synthetic dye–pigment combination. Therefore, depth analysis and graphical results of ZR, LR, HR, and HLR materials are the potential findings for selection of camouflage materials, right development of camouflage textile products, and camouflage assessment of hyperspectral imaging for defence protection in the entire spectrums of UV–Vis–IR. This optical parameters of ZR, LR, HR, and HLR materials have also applications to the materials community of multidimensional branches of material research.
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The datasets generated and/or analyzed during this experimentation and simulation are briefly attached with this manuscript as Supporting Information, Figs. 1–46 and Tables 1–6.
Notes
DGTWSIB: dry leaves, green leaves, tree bark-woodland CB; water-marine CB; sand-desertland CB; stone-stoneland CB; snow-snowland CB; sky CB and ice-iceland CB.
Monte Carlo cross validation: ultraviolet and near infrared spectra of chemical compound are recorded to give more than several hundred variables.
ATR: absorption–transmission–reflection.
References
B.J. Russell, H.M. Dierssen, Use of hyperspectral imagery to assess cryptic color matching in Sargassum associated crabs. PLoS ONE 10, 1–26 (2015). https://doi.org/10.1371/journal.pone.0136260
M. Winkelmann, Analysis of exploitable spectral features of target and background materials, in Proceeding of society of photo-optical instrumentation engineers, target and background signatures. Toulouse, France (2015), pp. 965303–96537
K. Andersson, On the military utility of spectral design in signature management: a systems approach. Ph. D Thesis, Doctor of Military Sciences, National Defence University, Finland; Swedish Defence University, Drottning Kristinas väg 37, in Stockholm (2018)
J. Xu, W. Qian, Q. Chen, Calculation model of scattering depolarization for camouflaged target detection system. Optik 158, 341–348 (2017)
M.A. Hossain, Evaluation of camouflage coloration of polyamide-6,6 fabric by comparing simultaneous spectrum in visible and near-infrared region for defense applications, in Colorimetry. ed. by A.K. Samanta (IntechOpen, London, 2021), pp.1–22
M.A. Hossain, Adaptive camouflage textiles with thermochromic colorant and liquid crystal for multidimensional combat background, a technical approach for advancement in defence protection. Am. J. Mater. Eng. Technol. 9, 31–47 (2021). https://doi.org/10.12691/materials-9-1-3
S. Ramsey, R. Viger, T. Mayo et al, Case study of absorption-spectrum transferability relative to substrates for dyes in fabrics. Report no. NRL/MR/6394—19-9845. Naval Research Laboratory Washington, DC pp. 20375-5320 (2019.)
C. Åkerlind, J. Fagerström, T. Hallberg et al., Evaluation criteria for spectral design of camouflage, in Proceeding of society of photo-optical instrumentation engineers, target and background signatures (2015), pp. 965301–965313
M.A. Hossain, A. Samanta, Green dyeing on cotton fabric demodulated from diospyros malabarica and Camellia sinensis with green mordanting agent. Latest Trends Text. Fashion Des. 2, 1–8 (2018). https://doi.org/10.32474/LTTFD.2018.02.000132
A. Hossain, A.K. Samanta, N.S. Bhaumik et al., Non-toxic coloration of cotton fabric using non-toxic colorant and nontoxic crosslinker. J. Text. Sci. Eng. 8, 1–5 (2018). https://doi.org/10.4172/2165-8064.1000374
A. Hossain, A.K. Samanta, N.S. Bhaumik et al., Organic colouration and antimicrobial finishing of organic cotton fabric by exploiting distillated organic extraction of organic Tectona grandis and Azardirachta indica with organic mordanting compare to conventional inorganic mordants. Int. J. Tex. Sci. Eng. 2018, 1–12 (2018). https://doi.org/10.29011/IJTSE-113/100013
A. Hossain, A.S. Islam, A.K. Samanta, Pollution free dyeing on cotton fabric extracted from Swietenia macrophylla and Musa Acuminata as unpolluted dyes and citrus. Limon (L.) as unpolluted mordanting agent. Trends Text. Eng. Fashion Technol. 3, 1–8 (2018)
A. Hossain, A Practical guideline of few standardized ready made shades of natural dyed textiles, in Chemistry and technology of natural and synthetic dyes and pigments. ed. by A.K. Samanta, N.S. Awwad (IntechOpen, London, 2020), pp.151–170
M.A. Hossain, A. Samanta, M.N. Abser et al., A review on technological and natural dyeing concepts for natural dyeing along with natural finishing on natural fibre. Int. J. Text. Sci. Eng. 3, 1–3 (2019). https://doi.org/10.29011/IJTSE-126/100026
M.A. Hossain, Cr oxide coated woodland camouflage textiles for protection of defense target signature in UV-Visible-IR spectrum opposing of hyperspectral and digital imaging. Preprint (Version 1) available at Research Square (2023). https://doi.org/10.21203/rs.3.rs-2298847/v1
M.A. Hossain, Ecofriendly camouflage textiles with natural sand-based silicon dioxide against simultaneous combat background of woodland, desertland, rockland, concreteland and water/marine. Preprint (Version 1) available at Research Square (2022). https://doi.org/10.21203/rs.3.rs-2359705/v1
M.A. Hossain, UV-visible-NIR camouflage textiles with natural plant based natural dyes on natural fibre against woodland combat background for defence protection. Preprint (Version 1) available at Research Square (2023). https://doi.org/10.21203/rs.3.rs-2126958/v1
L. Fred, Lafferrman, Spectral reflectance evaluation of camouflage detection photography. Report no. 2177, 1976. U.S. Army mobility equipment research and development command fort Belvoir, Virginia
M.A. Hossain, Simulation of chromatic and achromatic assessments for camouflage textiles and combat background. J. Def. Model. Simul.: Appl. Methodol. Technol. (2022). https://doi.org/10.1177/15485129211067759
A. Hossain, Spectral simulation and method design of camouflage textiles for concealment of hyperspectral imaging in UV-Vis-IR against multidimensional combat background. J. Text. Inst. (2021). https://doi.org/10.1080/00405000.2022.2027074
A. Hossain, Concealment, detection, recognition, and identification of target signature on water background under natural illumination. Int. J. Sci. Eng. Investig. 10, 1–11 (2021)
A. Toet, M.A. Hogervorst, Review of camouflage assessment techniques, in Proceeding of society of photo-optical instrumentation engineers, target and background signatures VI (2020), pp.1153604–1153629
P. Bamfield, M.G. Hutchings, Phenomena involving the absorption and reflectance of light, in Chromic phenomena: technological applications of colour chemistry. (Royal Society of Chemistry, Cambridge, 2010), pp.141–233
C. Berthomieu, R. Hienerwadel, Fourier transform infrared (FTIR) spectroscopy. Photosynth. Res. 101, 157–170 (2009). https://doi.org/10.1007/s11120-009-9439-x
T. Lummerstorfer, H. Hoffmann, IR reflection spectra of monolayer films sandwiched between two high refractive index materials. Am. Chem. Soc. 20, 6542–6545 (2004)
M.A. Hossain, Spectral simulation and materials design for camouflage textiles coloration against materials of multidimensional combat backgrounds in visible and near infrared spectrum. Preprint (Version 1) available at Research Square (2023)
Native Plant Material Collection Standard; Department of Environment and Heritage, Government of South Australia; National Parks and Wildlife Act, 1972. Science and Conservation Directorate Biodiversity Conservation Programs, p. 7/17 (2007)
C. Pasquini, Near infrared spectroscopy: fundamentals, practical aspects and analytical applications. J. Braz. Chem. Soc. 14, 198–219 (2003)
Q.-S. Xu, Y.-Z. Liang, Monte Carlo cross validation. Chemom. Intell. Lab. Syst. 56, 1–11 (2001)
H. Xu, Z. Liu, W. Cai et al., A wavelength selection method based on randomization test for near-infrared spectral analysis. Chemom. Intell. Lab. Syst. 97, 189–193 (2009). https://doi.org/10.1016/j.chemolab.2009.04.006
Y.X. Cui, Study and development of near-infrared reflective and absorptive materials for energy saving application. Ph.D Thesis, Carleton University Ottawa, Ontario (2011)
A.K. Samanta, A. Hossain, A. Bagchi, K. Bhattacharya, Simultaneous dyeing and fragrance finishing of cotton fabric” in American Association for Science and Technology (AASCIT), USA. J. Mater. Sci. Appl. 2, 25–34 (2016)
M.A. Hossain, Integrated dyeing and cosmetic finishing on cotton fabric. 6th all India inter engineering college academic meet-2015 and science & technology exhibition for a sustainable society, organised by Forum of Scientist, Engineers & Technologists (FOSET). 15N, Nelli Sengupta Sarani (Lindsay Street), Kolkata-7000087, India.: Forum of Scientist, Engineers & Technologists (FOSET) (2015)
M.A. Hossain, Cyclodextrin for aroma finishing on textile substrate-a review article. Int. J. Sci. Eng. Investig. 8 (2019)
A. Hossain, D. Sun, A. Samanta, Modern technology versus rapid economical growth in smart textiles incorporated with encapsulated phase change materials containing latent heat for special workers and extreme weather conditions. JResLit J. Sci. Technol. iss1, jst1005 (2019)
H.C. Leong, Imaging and reflectance spectroscopy for the evaluation of effective camouflage in the SWIR. Thesis, Master of science in combat systems sciences and technology, Naval postgraduate school, Monterey, California. (2007)
D.M. Milošević, D.M. Stević, M.R. Milošević et al., Modeling and simulation of the spectral reflectance for the natural environment: area pester plateau. Comput. Electron. Agric. 174, 1–11 (2020). https://doi.org/10.1016/j.compag.2020.105462
M.A. Hossain, Camouflage assessment of aluminium coated textiles for woodland and desertland combat background in visible and infrared spectrum under UV-Vis-IR background illumination. Def. Sci. J. 72, 359–370 (2022). https://doi.org/10.14429/dsj.72.17731
M.A. Hossain, Basic knowledge of wet processing technology, ISBN-978-984-35-2885-8, Issued on 10 August 2022, Department of Archives and Library, Ministry of Cultural affairs, The People’s Republic of Bangladesh. 140, Islamia Market, Nilkhet, Dhaka, Bangladesh: Rupok Publications. (2009)
G.P. Asner, Biophysical and biochemical sources of variability in canopy reflectance. Remote Sens. Environ. 64, 234–253 (1998)
P.W. Yuen, M. Richardson, An introduction to hyperspectral imaging and its application for security, surveillance and target acquisition. Imaging Sci. J. 58, 241–253 (2013). https://doi.org/10.1179/174313110x12771950995716
P.S. Roy, Spectral reflectance characteristics of vegetation and their use in estimating productive potential. Proc. Indian Acad. Soc. 99, 59–81 (1989)
C.M. Bachmann, M.J. Montes, C.E. Parrish et al., A dual-spectrometer approach to reflectance measurements under sub-optimal sky conditions. Opt. Express 20, 8959–8973 (2012)
L. Weyer Jr. et al., Water, in Practical guide and spectral atlas for interpretive near-infrared spectroscopy. (Taylor & Francis Group, Milton Park, 2012), pp.56–60
M. Martin, P. Berdahl, Characteristics of infrared sky radiation in the United States. Sol. Energy 33, 321–336 (1984)
G. Pfister, R.L. Mckenzie, J.B. Liley et al., Cloud coverage based on all-sky imaging and its impact on surface solar irradiance. J. Appl. Meteorol. 42, 1421–1434 (2003)
T. Nishita, Y. Dobashi, E. Nakamae, Display of clouds taking into account multiple anisotropic scattering and sky light (Fukuyama University, Hiroshima University, Eihachiro Nakamae, 1996), pp.379–386
R.I. Davies, A method to remove residual OH emission from near-infrared spectra. Mon. Not. R. Astron. Soc. 375, 1099–1105 (2007). https://doi.org/10.1111/j.1365-2966.2006.11383.x
N. Thomas, W.J. Markiewicz, R.M. Sablotny et al., The color of the Martian sky and its influence on the illumination of the Martian surface. J. Geophys. Res.: Planets 104, 8795–8808 (1999). https://doi.org/10.1029/98je02556
J. Bartl, M. Baranek, Emissivity of aluminium and its importance for radiometric measurement. Meas. Sci. Rev. 4, 31–36 (2004)
K. Xu, H. Ye, Preparation and optimization of biomimetic materials simulating solar spectrum reflection characteristics of natural leaves. J. Mater. Sci. 55, 12848–12863 (2020). https://doi.org/10.1007/s10853-020-04942-7
B. Bojović, A. Marković, Correlation between nitrogen and chlorophyll content in wheat (Triticum aestivum L.). Kragujev. J. Sci. 31, 69–74 (2009)
S.M. Burkinshaw, G. Hallas, A.D. Towns, Infrared camouflage. Rev. Prog. Color. 26, 46–53 (1996)
G. Uranus, M. Javad, N. Mahdi, Investigation on the effect of titanium dioxide nano particles on camouflage properties of cotton fabrics. Fibers Polym. 15, 241–247 (2014). https://doi.org/10.1007/s12221-014-0241-9
Z. Qunzhu, C. Meisheng, F. Xuezhi et al., A study of spectral reflection characteristics for snow, ice, and water in the north of China, in Hydrological applications of remote sensing and remote data transmission. Proceedings of the Hamburg symposium. (1983), pp.451–462
Acknowledgments
Author, Md. Anowar Hossain, PhD application ID: 2612540, PhD student ID: 3820066, RMIT University, Australia; Lecturer (study leave), Department of Textile Engineering, City University, Dhaka, Bangladesh acknowledges RMIT University and Australian Government for funding through RTP Stipend Scholarship, 2020–2023. Author acknowledges to ‘Professor Lijing Wang’ and ‘Emeritus Professor Robert Shanks,’ School of Fashion and Textiles, RMIT University for their supervision and draft review of manuscript.
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Glossary
- DGTWSIB
-
Dry leaves, green leaves, tree bark-woodland CB; water-marine CB; sand-desertland CB; stone-stoneland CB; snow-snowland CB; and ice-iceland CB
- Zero reflection
-
The term ‘zero’ has been hypothetically used when the textile substances are directly treated with CB materials/similar reflection materials; and target signature (textile substances) is compared with same CB for CDRI
- CDRI
-
Concealment, detection, recognition, and identification
- ZR
-
Zero reflection
- LR
-
Low reflection
- HR
-
High reflection
- HLR
-
High reflection and low reflection
- ATR
-
Absorption-transmission-reflection
- CB
-
Combat background
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Hossain, M.A. Spectral simulation and materials design for camouflage textiles coloration against materials of multidimensional combat backgrounds in visible and near infrared spectrums. MRS Communications 13, 306–319 (2023). https://doi.org/10.1557/s43579-023-00344-3
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DOI: https://doi.org/10.1557/s43579-023-00344-3