Multi-scale camouflage

The Canadian Forces were the first army to issue pixellated digital multi-scale camouflage for all units with their disruptively patterned CADPAT, issued in 2002, shown here in its 'Temperate Woodland' variant.

Multi-scale camouflage is a type of military camouflage combining patterns at two or more scales, often (though not necessarily) with a digital camouflage pattern created with computer assistance. The function is to provide camouflage over a range of distances, or equivalently over a range of scales (scale-invariant camouflage), in the manner of fractals, so some approaches are called fractal camouflage. Not all multiscale patterns are composed of rectangular pixels, even if they were designed using a computer. Further, not all pixellated patterns work at different scales, so being pixellated or digital does not of itself guarantee improved performance.

The first standardized pattern to be issued was the single-scale Italian telo mimetico. The root of the modern multi-scale camouflage patterns can be traced back to 1930s experiments in Europe for the German and Soviet armies. This was followed by the Canadian development of the Canadian Disruptive Pattern (CADPAT), first issued in 2002, and then with US work which created the Marine pattern (MARPAT), launched between 2002 and 2004.

Principle

The Universal Camouflage Pattern provided insufficient contrast to disrupt a soldier's outline effectively, appearing at a moderate distance as a single colour.

Scale invariance

The scale of camouflage patterns is related to their function. Large structures need larger patterns than individual soldiers to disrupt their shape. At the same time, large patterns are more effective from afar, while small scale patterns work better up close.[1] Traditional single scale patterns work well in their optimal range from the observer, but an observer at other distances will not see the pattern optimally. Nature itself is very often fractal, where plants and rock formations exhibit similar patterns across several magnitudes of scale. The idea behind multi-scale patterns is both to mimic the self-similarity of nature, and also to offer scale invariant or so-called fractal camouflage.[2][3]

Animals such as the flounder have the ability to adapt their camouflage patterns to suit the background, and they do so extremely effectively,[4] selecting patterns that match the spatial scales of the current background.[4]

Design trade-offs

Operational Camouflage Pattern, a disruptive but non-pixellated pattern, replaced the Universal Camouflage Pattern beginning in 2015.

A pattern being called digital most often means that it is visibly composed of computer-generated pixels.[5] The term is sometimes also used of computer generated patterns like the non-pixellated MultiCam and the Italian fractal Vegetato pattern.[6] Neither pixellation nor digitization contributes to the camouflaging effect. The pixellated style, however, simplifies design and eases printing on fabric, compared to traditional patterns. While digital patterns are becoming widespread, critics maintain that the pixellated look is a question of fashion rather than function.[7]

The design process involves trading-off different factors, including colour, contrast, and overall disruptive effect. A failure to consider all elements of pattern design tends to result in poor results. The US Army's Universal Camouflage Pattern (UCP), for example, adopted after limited testing in 2003 and 2004, performed poorly because of low pattern contrast (isoluminance—beyond very close range, the design looks like a field of solid light grey, failing to disrupt an object's outlines) and arbitrary colour selection, neither of which could be saved by quantizing (digitizing) the pattern geometry.[8][9] The design was replaced from 2015 with the Operational Camouflage Pattern, a non-pixellated pattern.[10][11]

History

Italian Telo mimetico, first used in 1929

Interwar development in Europe

The idea of patterned camouflage extends back to the interwar period in Europe. The first printed camouflage pattern was the 1929 Italian telo mimetico, which used irregular areas of three colours at a single scale.[12]

German WWII experiments

Waffen-SS 1944 Erbsenmuster (pea-dot pattern) combines large and small scale patterns.
Main article: German World War II camouflage patterns

During the Second World War, Johann Georg Otto Schick[a] designed a series of patterns such as Platanenmuster (plane tree pattern) and Erbsenmuster (pea-dot pattern) for the Waffen-SS, combining micro- and macro-patterns in one scheme.[13][14]

Soviet WWII experiments

Pixel-like shapes pre-date computer-aided design by many years, already being used in Soviet Union experiments with camouflage patterns, such as "TTsMKK"[b] developed in 1944 or 1945. The pattern uses areas of olive green, sand, and black running together in broken patches at a range of scales.[15]

1976 research by Timothy O'Neill

In 1976, Timothy O'Neill created a pixellated pattern named "Dual-Tex". He called the digital approach "texture match". The initial work was done by hand on a retired M113 armoured personnel carrier; O'Neill painted the pattern on with a 2-inch (5.1 cm) roller, forming squares of colour by hand. Field testing showed that the result was good compared to the U. S. Army's existing camouflage patterns, and O'Neill went on to become an instructor and camouflage researcher at West Point military academy.[16][9]

2000s fractal-like digital patterns

Patterns in nature, like the foliage of this Buxus sempervirens bush, are often broken into visual elements with small and large scales, such as branches and leaves.

By 2000, development was underway to create pixellated camouflage patterns for combat uniforms like the Canadian Forces' CADPAT, which was developed in 1997 and later issued in 2002, and then the US Marines' MARPAT, rolled out between 2002 and 2004. The CADPAT and MARPAT patterns were somewhat self-similar (in the manner of fractals and patterns in nature such as vegetation), designed to work at two different scales. A genuinely fractal pattern would be statistically similar at all scales. A target camouflaged with MARPAT takes about 2.5 times longer to detect than older NATO camouflage which worked at only one scale, while recognition, which begins after detection, took 20 percent longer than with older camouflage.[17][18][19]

Fractal-like patterns work because the human visual system efficiently discriminates images that have different fractal dimension or other second-order statistics like Fourier spatial amplitude spectra; objects simply appear to pop out from the background.[17] Timothy O'Neill helped the Marine Corps to develop first a digital pattern for vehicles, then fabric for uniforms, which had two colour schemes, one designed for woodland, one for desert.[9]

Notes

  1. ^ Schick (1882–) was a professor in Munich in the 1930s, and from 1935 director of the newly formed camouflage department (named "T" for "Tarnung", camouflage).
  2. ^ TTsMKK (Russian: ТЦМКК) is short for "three-colour disguise camouflage suit" ("трёхцветный маскировочный камуфлированный костюм", tryokhtsvetniy maskirovochniy kamuflirovanniy kostyum).[15]

References

  1. ^ Craemer, Guy. "Dual Texture - U.S. Army digital camouflage". United Dynamics Corp. Archived from the original on 27 September 2013. Retrieved 27 September 2012.{{cite web}}: CS1 maint: unfit URL (link)
  2. ^ Hambling, David (8 May 2012). "Invisibility cloaks are almost a reality with fractal-camouflage clothing". Wired. No. June 2012.
  3. ^ Vergun, David. "Army testing combat boots, camouflage patterns". United States Army. Retrieved 28 April 2014.
  4. ^ a b Akkaynak, Derek; et al. (March 2017). "Changeable camouflage: how well can flounder resemble the colour and spatial scale of substrates in their natural habitats?". Royal Society Open Science. 4 (3): 160824. Bibcode:2017RSOS....460824A. doi:10.1098/rsos.160824. PMC 5383827. PMID 28405370. Our results show that all flounder and background spectra fall within the same colour gamut and that, in terms of different observer visual systems, flounder matched most substrates in luminance and colour contrast.
  5. ^ Craemer, Guy (2007). "CADPAT or MARPAT Camouflage". Who did it first; Canada or the US?. Hyperstealth. Retrieved February 3, 2012.
  6. ^ Strikehold (2010). "Making Sense of Digital Camouflage". Strikehold. Archived from the original on 30 November 2012. Retrieved 2 September 2012.
  7. ^ Engber, D. (5 July 2012). "Lost in the Wilderness, the military's misadventures in pixellated camouflage". Slate. Retrieved 27 September 2012.
  8. ^ Hu, Caitlin (2016). "The Art and Science of Military Camouflage". Works That Work (7). Retrieved 8 March 2017.
  9. ^ a b c Kennedy, Pagan (10 May 2013). "Who Made That Digital Camouflage?". The New York Times. Archived from the original on Jan 5, 2024.
  10. ^ Vergun, David (31 March 2014). "Army testing combat boots, camouflage patterns". U.S. Army. Retrieved 22 April 2014.
  11. ^ "Army Combat Uniform Summary of Changes" (PDF). US Army. Retrieved 1 April 2017.
  12. ^ Verny, Eric; Bocek, Jonathan. "Italian Camouflage". Der Erste Zug. Retrieved 14 September 2016.
  13. ^ Peterson, D. (2001). Waffen-SS Camouflage Uniforms and Post-war Derivatives. Crowood. p. 64. ISBN 978-1-86126-474-9.
  14. ^ "Schick, Johann Georg Otto (1882-)". Kalliope-Verbund. Retrieved 29 March 2016.
  15. ^ a b Dougherty, Martin J. (2017). "Chapter 2: Infantry Camouflage in the Modern Era". In Spilling, Michael (ed.). Camouflage At War: An Illustrated Guide from 1914 to the Present Day. London: Amber Books. p. 69. ISBN 978-1-78274-498-6.
  16. ^ Fusco, Vincent (3 June 2010). "West Point explores science of camouflage". U. S. Army. Retrieved 24 August 2017.
  17. ^ a b Billock, Vincent A; Cunningham, Douglas W.; Tsou, Brian H (2010). Andrews, Dee H.; Herz, Robert P.; Wolf, Mark B. (eds.). Human Factors Issues in Combat Identification. What Visual Discrimination of Fractal Textures Can Tell Us about Discrimination of Camouflaged Targets. Ashgate. pp. 99–101. ISBN 9781409486206.
  18. ^ Billock, Vincent A.; Cunningham, Douglas W.; Tsou, Brian H., What Visual Discrimination Of Fractal Textures Can Tell Us About Discrimination Of Camouflaged Targets, pp. 99–112, CiteSeerX 10.1.1.570.3015 Presented at the Human Factors Issues in Combat Identification Workshop, Gold Canyon, Arizona, May 13, 2008.
  19. ^ O’Neill, T., Matthews, M., & Swiergosz, M. (2004). Marine Corps innovative camouflage. Midyear meeting of the American Psychological Association, Divisions 19 & 21. Supplementary data at http://www.hyperstealth.com/digital-design/index.htm