Spectral simulation and method design of camouflage textiles for concealment of hyperspectral imaging in UV-Vis-IR against multidimensional combat background

Abstract

Camouflage textile assessments are limited in defense research for single and multidimensional combat background (CB) against hyperspectral imaging (HSI). The development of camouflage textiles needs to be upgraded for the capabilities of modern battlefield surveillance. The purpose of this simulation work is to design remote sensing methodology and desired spectral properties of camouflage textiles. A spectral signal (SL) of camouflage textile was hypothetically simulated against dry leaves, green leaves, tree bark-woodland, water-marine, sand-desertland, stone-stoneland, snow-snowland, sky and ice-iceland CB (DGTWSIB), and a simultaneous CB of woodland-marine and marine-desert for camouflage textiles assessment. This simulation is to establish SL assessment technique of object-background (OB) in ultraviolet (UV), visible (Vis) and infrared (IR) illumination in terms of HSI spectrometry, near infrared spectrophotometry (NIRS) and Fourier transform infrared spectrometry (FTIRS) for the advancement and establishment of camouflage textiles assessment. The broad geographical DGTWSIB of camouflage textiles has been contemplated for spectral reflection in OB environments for concealment, detection, recognition, and identification (CDRI). Theoretical simulation of SL has been derived for assessment of camouflage textiles compared with single, simultaneous, and adaptive backgrounds from military CB or locations. The hypothetical and methodological model will direct advanced formulation of camouflage textile measurement for combat mechanism of reflection-SL-CDRI-OB-DGTWSIB-UV-Vis-IR (100–10,000 nm) against defense threat of HSI.

Keywords:

• Camouflage textiles
• target signature
• hyperspectral imaging and spectrometry
• UV-Vis-IR
• combat background

Acknowledgements

Author Md. Anowar Hossain acknowledges RMIT University & Australian Government for funding through RTP Stipend Scholarship. Author also acknowledges to “Professor Lijing Wang” and “Professor Robert Shanks”, School of Fashion and Textiles, RMIT University for their draft review.

Disclosure statement

Author declare no conflict of interest to publish this article.

Funding

The author received no financial support for the research, authorship and/or publication of this article.